chancellor's university report · january 2018 chancellor’s university report – addendum...

JANUARY 2018

CHANCELLOR'S UNIVERSITY REPORT

January 2018 CHANCELLOR’S UNIVERSITY REPORT - ERRATA

Chancellor’s University ReportErrata ReportJanuary 2018

College of Staten Island

Instructional

Reappointment

Faculty

Chemistry

Title Functional Title Name Type SalaryComponents

Amount Eff From Eff To Appt

Hrs

Comments

Assc Professor Assc Professor Loverde,Sharon Tenured *Base Sal $84,678.00 9/1/2018 Reappointmentwith Early Tenureeffective 9-1-2018

Marketing



Hrs

Comments

Assc Professor Assc Professor Zhang,Dan Tenured *Base Sal

*SAB

$94,248.00

$19,000.00

9/1/2018 Reappointmentwith Early Tenureeffective 9-1-2018

Total Action Reappointment: 2

Total Actions Reported: InstructionalReappointment

Faculty: 2Total Instructional: 2

Graduate Center

Classified

Probation Period Transfer

Competitive

Security Office

Title Name Type CommentsCampus Security Asst Bracey,Tondalayo Permanent Remove entry for Probation Period

Transfer for Tondalayo Bracey, CampusSecurity Asst under The GraduateCenter.

Total Action Probation Period Transfer: 1

Total Actions Reported: ClassifiedProbation Period Transfer

Competitive: 1Total Classified: 1

Queens College

Instructional

Appointment-Title Chge/Reclass

Non-Teaching / Administrative

Queens College Venue Rentals

Title

Prior Title

Functional Title

Prior Func Title

Name Type SalaryComponents

Amount Prev Salary

Components

Prev Amount Eff From Comments

He Officer

He Associate

Admin Officer-Heo

Admin Events Mgr

Nussbaum,Dale M Heo SeriesTrack13.3B

*Base Sal $108,683.00 *Base Sal $106,700.00 11/29/2017 The EmplClass, 13.3B, isrevised to readTRACK 13.3B.

Total Action Appointment-Title Chge/Reclass: 1

Total Actions Reported: InstructionalAppointment-Title Chge/Reclass

Non-Teaching / Administrative: 1Total Instructional: 1

CUNY GradSch ofPub H and H Pol

Instructional

Appointment

Non-Teaching / Administrative

Academic Affairs



Hrs

Comments

He Assistant Acad Std Suppt Specl Paczkowski,Matthew Heo SeriesTrack 13.3B

*Base Sal $71,723.00 11/27/2017 6/30/2018 Revisedappointment enddate to read6/30/2018.

Total Action Appointment: 1

Total Actions Reported: InstructionalAppointmentNon-Teaching / Administrative: 1Total Instructional: 1

Classified

Transfer from Another College

Competitive

Security Operations

Title Functional Title Name Type Salary Components Amount Eff From CommentsCampus SecurityAsst

Campus Security Asst Bracey,Tondalayo ProbablePermanent

*Base Sal $33,741.00 10/30/2017 Revised commentsto read Transferfrom GraduateCenter to School ofPublic Health &Health Policythrough TransferRoster.

Total Action Transfer from Another College: 1

Total Actions Reported: ClassifiedTransfer from Another CollegeCompetitive: 1Total Classified: 1

January 2018

February 5, 2018

January 2018 Chancellor’s University Report – ADDENDUM

PERSONNEL MATTERS

JOHN JAY COLLEGE – TRANSFER AND APPOINTMENT OF FACULTY FROM THE DEPARTMENT OFLAW AND POLICE SCIENCE TO THE DEPARTMENT OF CRIMINAL JUSTICE.

RESOLVED, that effective January 27, 2018, Associate Professor Eric Piza, of the Department of Law andPolice Science be transferred from the Department of Law and Police Science and appointed to theDepartment of Criminal Justice.

UNTENURED MEMBERNAME

(Last, First)

PRESENTRANK

FORMER DEPT. NEW DEPT. SENIORITYDATE (NEWDEPT.)

FULL TIMEAPPOINTMENTDATE (COLLEGE)*

Eric Piza AssociateProfessor

Law and PoliceScience

CriminalJustice

1/27/2018 8/27/2013

EXPLANATION: Contingent upon approval by the Board of Trustees, the above named instructional staffmember will be transferred from the Department of Law and Police Science to the Department of CriminalJustice

*Pursuant to Section 6212 of the New York State Education Law, seniority of a tenured person is governedby the date of appointment to the department. At such time as the untenured faculty member becomestenured, his seniority would be governed by the date of appointment to the new department (January 27,2018).

The impacted instructional staff member has been advised of his seniority date in the new department.

ACADEMIC MATTERS

COLLEGE OF STATEN ISLAND

SECTION AIII: Change in Degree Requirements

AIII.1 Change in existing Master of Science in Business Management (Program Code: 30775)

EFFECTIVE: FALL 2018

FROM:

REQUIREMENTS:

Business Management Admission Requirements

The program admits students for the fall semester

TO:

REQUIREMENTS:

Business Management Admission Requirements

The program admits students for the fall semester

only.

A graduate Business Management SteeringCommittee comprised of the Program Coordinatorand Deputy Area Coordinators from Accounting,Finance, Information Systems, InternationalBusiness, Management, and

Marketing will determine admissions using thefollowing criteria:

• Baccalaureate degree in Business or related fieldssuch as Accounting, Corporate Communications orEconomics.

• Overall Grade Point Average (GPA) of 3.0 orhigher.

• Letter of intent

• Graduate Management Admissions Test (GMAT).Students with degrees in corporate communicationsmay choose to take the Graduate RecordExamination (GRE).

• CSI Graduates who have a GPA of 3.2 or higher intheir accounting or business pre-major and majorrequirements may be exempt from taking the GMAT.

• The Test of English as a Foreign Language(TOEFL) or the International English LanguageTesting System (IELTS) exam is a requirement ofstudent for whom English is a second language. Theminimum score required for TOEFL is 600 (paper),250 (Computer), or 79 (Internet). The minimum scorefor the IELTS exam is 6.5 (overall band).

• Two letters of recommendation from instructors oremployers. One letter, whenever possible, shouldcome from a current or former employer.

• All applicants must demonstrate proficiency inbusiness fundamentals by having completed thefollowing undergraduate coursework before startingthe MS:

2 courses in Accounting**

1 course in Communications (may be acommunications course or a business course with astrong emphasis on business presentations)

1 course in computer fundamentals (i.e. MS

only.

A graduate Business Management SteeringCommittee comprised of the Program Coordinatorand Deputy Area Coordinators from Accounting,Finance, Information Systems, InternationalBusiness, Management, and Marketing willdetermine admissions using the following criteria:

• Baccalaureate degree in Business or related fieldssuch as Accounting, Corporate Communications orEconomics.

• Overall Grade Point Average (GPA) of 3.0 orhigher.

• Letter of intent

• Graduate Management Admissions Test (GMAT).Students with degrees in corporate communicationsmay choose to take the Graduate RecordExamination (GRE).

• CSI Graduates who have a GPA of 3.2 or higher intheir accounting or business pre-major and majorrequirements may be exempt from taking the GMAT.

• Non-CSI Graduates who have a GPA of 3.5 orhigher in their undergraduate business andaccounting courses can request a GMAT waiversubject to review by the admissions committee.

• The Test of English as a Foreign Language(TOEFL) or the International English LanguageTesting System (IELTS) exam is a requirement ofstudent for whom English is a second language. Theminimum score required for TOEFL is 550 (paper),213 (Computer), or 79 (Internet). The minimum scorefor the IELTS exam is 6.5 (overall band).

• Two letters of recommendation from instructors oremployers. One letter, whenever possible, shouldcome from a current or former employer.

• A brief (1-2 page) résumé

• All applicants must demonstrate proficiency inbusiness fundamentals by having completed thefollowing undergraduate coursework before startingthe MS:

2 courses in Accounting**

Windows, Office, Internet skills)

2 courses in Economics (microeconomics andmacroeconomics)

2 courses in quantitative methods (minimum of pre-calculus and statistics)

1 course in Management

1 course in Marketing

**CSI offers a graduate proficiency accountingcourse (ACC 600)

Applicants may substitute a passing score on theCLEP examination for any of the proficiencyrequirements.

The Admission Committee may request an interview.

Business Management Degree Requirements

Students in the Master’s degree program in BusinessManagement are required to take 30 credit hours, orten courses at three credits each, at the graduatelevel. Most students will have satisfied prerequisitesin accounting (two courses), communications(through a communications course or throughbusiness classes with major presentationrequirements such as upper-level courses inmanagement and marketing), computerfundamentals (one course equivalent to BUS 150),economics (two courses equivalent tomicroeconomics and macroeconomics andquantitative methods (minimum of pre-calculus andstatistics) as undergraduates. Those who have notfully completed the prerequisites, may be permittedto remedy undergraduate proficiencies, but coursestaken to remove the deficiencies must be in additionto their regular coursework. Students may chooseeither the Strategic Management Track or the Large-Scale Data Analysis Track in order to complete theMaster of Science in Business Management.

Degree Requirements

A. Strategic Management Track

The Strategic Management Track offers students anopportunity to study management with a focus onprocess and operational management. Students aregiven a firm grounding in human resource

1 course in Communications (may be acommunications course or a business course with astrong emphasis on business presentations)

1 course in computer fundamentals (i.e. MSWindows, Office, Internet skills)

2 courses in Economics (microeconomics andmacroeconomics)

2 courses in quantitative methods (minimum of pre-calculus and statistics)

1 course in Management

1 course in Marketing

**CSI offers a graduate proficiency accountingcourse (ACC 600)

Applicants may substitute a passing score on theCLEP examination for any of the proficiencyrequirements.

The Admission Committee may request an interview.

Business Management Degree Requirements

Students in the Master’s degree program in BusinessManagement are required to take 30 credit hours, orten courses at three credits each, at the graduatelevel. Most students will have satisfied prerequisitesin accounting (two courses), communications(through a communications course or throughbusiness classes with major presentationrequirements such as upper-level courses inmanagement and marketing), computerfundamentals (one course equivalent to BUS 150),economics (two courses equivalent tomicroeconomics and macroeconomics andquantitative methods (minimum of pre-calculus andstatistics) as undergraduates. Those who have notfully completed the prerequisites, may be permittedto remedy undergraduate proficiencies, but coursestaken to remove the deficiencies must be in additionto their regular coursework. Students may chooseeither the Strategic Management Track or the Large-Scale Data Analysis Track in order to complete theMaster of Science in Business Management.

Degree Requirements

A. Strategic Management Track

management and strategy and have the option totake courses in various areas of business practice.

Core courses:

MGT 600 The Administrative Process 3 Credits

MGT 605 Business, Government, and Society 3Credits

MKT 600 Strategic Marketing Management 3 Credits

FNC 600 Financial Management 3 Credits

Advanced courses:

MGT 710 Leadership and OrganizationalEffectiveness 3 Credits

MGT 720 Global Business Strategy 3 Credits

MGT 730 Strategic Human Resource Management 3Credits

MGT 770 Managerial Decision Making andApplications (Capstone) 3 Credits

Electives:

Two from the following:

ACC 725 Forensic Accounting 3 Credits

ACC 730 Accounting/Management InformationSystems 3 Credits

ACC 740 Tax Strategies and Business Decisions 3Credits

FNC 730 Financial Statement Analysis 3 Credits

BUS 720 Global Business Strategy: Focusing on aForeign-Based Firm 3 Credits

FNC 740 Financial Planning 3 Credits

MKT 730 Services Marketing and Management 3Credits

MKT 740 Business-to-Business Marketing 3 Credits

MGT 790 Seminar in Contemporary Business Topics3 Credits

The Strategic Management Track offers students anopportunity to study management with a focus onprocess and operational management. Students aregiven a firm grounding in human resourcemanagement and strategy and have the option totake courses in various areas of business practice.

Core courses:




FNC 600 Financial Management 3 Credits

Advanced courses:

MGT 710 Leadership and OrganizationalEffectiveness 3 Credits


MGT 730 Strategic Human Resource Management 3Credits


Electives:

Two from the following:

ACC 725 Forensic Accounting 3 Credits

ACC 730 Accounting/Management InformationSystems 3 Credits

ACC 740 Tax Strategies and Business Decisions 3Credits

FNC 730 Financial Statement Analysis 3 Credits

BUS 720 Global Business Strategy: Focusing on aForeign-Based Firm 3 Credits

FNC 740 Financial Planning 3 Credits

MKT 730/MGT 735 Services Marketing andManagement 3 Credits

BDA 651 Computational and Statistical Methods forthe Business and Economics 3 Credits

BDA 761 Big Data Management in aSupercomputing Environment 3 Credits

BDA 762 Analysis Techniques for Large-Scale Data– Spatial and Statistical Techniques 3 Credits

BDA 763 Forecasting for Managers and Researchers3 Credits

BDA 764 Research Project in Large-Scale Data 3Credits

BDA 765 Seminar in Big Data – Current Topics 3Credits

BUS 605 The Business of HealthCare 3 Credits

TOTAL NUMBER OF CREDITS: 30

B. Large-Scale Data Analysis Track

The Large-Scale Data Analysis Track offers studentswishing to study management with a focus onquantitative management the opportunity to focustheir study on the areas of management that arestrongly grounded in quantitative methods. The trackis focused on large scale data and includessignificant opportunity to utilize the large scalecomputational resources of the CUNY HighPerformance Computing Center.

Core courses:





Advanced courses:

BDA 764 Research Project in Large Scale Data 3Credits


BDA 761 Big Data Management in a

MKT 740 Business-to-Business Marketing 3 Credits

MGT 790 Seminar in Contemporary Business Topics3 Credits

BDA 651 Computational and Statistical Methods forthe Business and Economics 3 Credits

BDA 761 Big Data Management in a SupercomputingEnvironment 3 Credits

BDA 762 Analysis Techniques for Large-Scale Data– Spatial and Statistical Techniques 3 Credits


BDA 764 Research Project in Large-Scale Data 3Credits


BUS 605 The Business of HealthCare 3 Credits


B. Large-Scale Data Analysis Track

The Large-Scale Data Analysis Track offers studentswishing to study management with a focus onquantitative management the opportunity to focustheir study on the areas of management that arestrongly grounded in quantitative methods. The trackis focused on large scale data and includessignificant opportunity to utilize the large scalecomputational resources of the CUNY HighPerformance Computing Center.

Core courses:





Advanced courses:

Supercomputing Environment 3 Credits


Business Data Analytics courses:

BDA 762Analysis Techniques for Large-Scale Data –Spatial and Statistical Techniques 3 Credits


There are no electives in this track.


BDA 764 Research Project in Large Scale Data 3Credits


BDA 761 Big Data Management in a SupercomputingEnvironment 3 Credits


Business Data Analytics courses:

BDA 762Analysis Techniques for Large-Scale Data –Spatial and Statistical Techniques 3 Credits


There are no electives in this track.


RATIONALE: Changing the minimum TOEFL score for paper and computer exams. Since we loweredTOEFL internet score requirement from 100 to 79, it was determined that we should also lower those for thepaper and computer exams. The equivalent scores for 79 for the paper exam is 550 (lowered from 600) andfor the computer exam is 213 (lowered from 250). Addition of résumé to the list of materials requested fromcandidates. This will enable the admissions committee to obtain a richer and more detailed understanding ofthe candidate’s background and potential fit with the program. Addition of an option to request a waiver forthe GMAT if a non-CSI student has a GPA of 3.5 or higher in a relevant degree. Experience has shown thatstudents with high GPA’s from reputable universities perform very well in the MS program. For such students,the GMAT does not provide any additional insight and is not necessary.

AIII.2 – Removed by Reviewer

AIII.3 – Removed by Reviewer

AIII.4 Change in existing Bachelor of Science in Social Work and Bachelor of Science in MHC SocialWork (Program Code: 35043)


FROM:

Admission and Retention Requirements:

Students must have completed 40 credits and musthave a 2.5 GPA, including SWK 200 and MTH 113for entry into the program. Students are required tomaintain a 2.5 GPA to continue in the program andearn a grade of C or better in all Social Workcourses, except SWK 350 and SWK 360 and SWK365, where a grade of B or better is required to

TO:

Admission and Retention Requirements:

Students must have completed 40 credits and musthave a 2.5 GPA, including SWK 200 and MTH 113for entry into the program. Students are required tomaintain a 2.5 cumulative CUNY College of StatenIsland GPA and a 2.5 GPA in Social Work courses toremain in good standing in the BSSW Program.Students must earn a grade of C or better in all

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advance. SWK 454 and SWK 464 are pass/fail. Social Work courses, except SWK 350, SWK 360,and SWK 306, where a grade of B or better isrequired to advance. SWK 454 and SWK 464 arepass/fail.

RATIONALE: The BSSW faculty has a responsibility to prepare and motivate students to become competententry-level generalist social work practitioners. During the retention process students are expected to identifyareas of professional and academic growth necessary to successfully complete the program in the context ofits mission and goals. The goals of the retention process are to have students and faculty identify the valuesand ethics that are necessary to be considered a generalist social work professional at the undergraduatelevel. The faculty has the responsibility for monitoring the student’s motivation, commitment, capacity, andlimitations for social work practice. The monitoring process intends to preserve the mission and goals of theBSSW program. The retention process is designed with the objective of having students and faculty mutuallyassess the student’s readiness and commitment to be a social work major. This process acknowledges theimportance of producing graduates who can meet the challenges and requirements of the profession.

AIII.5 Change in existing Master of Science in Computer Science (Program Code: 83637)


FROM:

1. Matriculated status

2. A program of 10 courses (30 credits) with atleast a 3.0 (B) average. The following corecourses are required of all students:

CSC 716 Advanced Operating Systems

CSC 722 Computability

or

CSC 724 Formal Language Theory

CSC 727 Algorithms and Information Structures

CSC 740 Computer Systems Design

The remaining six courses will be chosen from any ofthe following: courses listed below underspecialization areas; CSC 755 (Applied Mathematicsfor Computer Science) and/or CSC 759 (GraduateResearch Laboratory).

Exceptional students may be permitted to satisfy sixcredits of the total credit requirement with a master’sthesis.

Specialization Areas

Certain specialization areas within computer science

TO:

1. Matriculated status

2. A program of 10 courses (30 credits) with at leasta 3.0 (B) average. The following core courses arerequired for all students:

CSC 716 Advanced Operating Systems

CSC 727 Algorithms and Information Structures

CSC 740 Computer Systems Design or CSC 770Parallel Computing

The remaining seven courses will be chosen fromany of the following: courses listed below underspecialization areas; CSC 755 (Applied Mathematicsfor Computer Science) and/or CSC 759 (GraduateResearch Laboratory).

Exceptional students may be permitted to satisfy sixcredits of the total credit requirement with a master’sthesis.

Specialization Areas

Certain specialization areas within computer scienceare well represented by the department facultyresearch interests. Students interested in specializingin an area specified below are advised to selectcourses from the courses listed in that area. Students

are well represented by the department facultyresearch interests. Students interested in specializingin an area specified below are advised to selectcourses from the courses listed in that area. Studentswho are interested in doing research are alsoadvised to take CSC 755 and/or CSC 759. Foradditional CUNY Graduate Center courses in aspecialization area, consult the graduate programcoordinator.

Software Engineering

CSC 710 Software Engineering

CSC 712 Compiler Construction

CSC 713 Advanced Systems Programming

CSC 714 Software Systems Analysis and Design

CSC 715 Database Theory

CSC 744 Computer Performance Evaluation

CSC 750 Computer-aided Analysis and Design

CSC 752 Management Information Systems

Multimedia and Image Processing

CSC 706 Computer Graphics

CSC 731 Artificial Intelligence and KnowledgeEngineering

CSC 732 Neural Networks and Pattern Recognition

CSC 733 Natural Language Processing

CSC 735 Machine Learning and Data Mining

CSC 741 Digital Image Processing

CSC 758 Media Transmission and Characteristics

Networks, Telecommunication, and Architecture

CSC 742 Advanced Microcomputer Systems Design

CSC 747 Digital Signal Processing

CSC 748 Quantitative Analysis of ComputerArchitecture

who are interested in doing research are alsoadvised to take CSC 755 and/or CSC 759. Foradditional CUNY Graduate Center courses in aspecialization area, consult the graduate programcoordinator.

Software Engineering

CSC 710 Software Engineering

CSC 712 Compiler Construction

CSC 713 Advanced Systems Programming

CSC 714 Software Systems Analysis and Design

CSC 715 Database Theory

CSC 744 Computer Performance Evaluation

CSC 750 Computer-aided Analysis and Design

CSC 752 Management Information Systems

Multimedia and Image Processing

CSC 706 Computer Graphics

CSC 731 Artificial Intelligence and KnowledgeEngineering

CSC 732 Neural Networks and Pattern Recognition

CSC 733 Natural Language Processing

CSC 735 Machine Learning and Data Mining

CSC 741 Digital Image Processing

CSC 758 Media Transmission and Characteristics

CSC 767 Neural Networks and Deep Learning

CSC 769 Graph-Based Analysis for Big Data inSocial Networks

Networks, Telecommunication, and Architecture

CSC 742 Advanced Microcomputer Systems Design

CSC 747 Digital Signal Processing

CSC 748 Quantitative Analysis of ComputerArchitecture

CSC 756 Network Security

CSC 757 Telecommunication Networks

CSC 760 High-speed LAN and WAN

CSC 762 Fundamentals of Wireless Communications

CSC 764 Intelligent Networks

CSC 766 Broadband and SONET Networks

CSC 770 Parallel Computing

CSC 756 Network Security

CSC 757 Telecommunication Networks

CSC 760 High-speed LAN and WAN

CSC 762 Fundamentals of Wireless Communications

CSC 764 Intelligent Networks

CSC 766 Broadband and SONET Networks

CSC 770 Parallel Computing

CSC 768 Cryptography

RATIONALE: This set of new required courses is more important and fundamental in computer sciencenowadays.

AIII.6 Change in existing Minor of Drama (Program Code: 02847)


FROM:

Pre-minor requirements: 4 credits

DRA 110 Acting I 4 credits

Minor Requirements: 15 credits

At least 15 credits chosen from the following:

DRA 140 Theater Studies 4 credits

DRA 141 Theater Production 3 credits

DRA 142 Theater Production Lab I 1 credit

DRA 210 Acting II 4 credits

DRA 217 Voice and Diction for Performance andCommunication 4 credits

DRA 221 Topics on Production 4 credits

DRA 272 Performance Histories (Ancient to EarlyModern) 4 credits

DRA 273 Performance Histories (1600-1900) 4credits

DRA 274 Performance Histories (1901-Present) 4credits

TO:

Pre-minor requirements: 4 credits

No Change

Minor Requirements: 15 credits

At least 15 credits chosen from the following:

DRA 140 Theater Studies 4 credits

DRA 141 Theater Production 3 credits

DRA 142 Theater Production Lab I 1 credit

DRA 217 Voice &Diction for Performance and Comm.4 credits

DRA 218 Movement for Theatre and Performance 4credits

DRA 219 Theatre Learning Lab 4 credits

DRA 221 Topics on Production 4 credits

DRA 241 Theatrical Imagination 4 credits

DRA 280 Performance Industry Structures 4 credits

DRA 272 Performance Histories (Ancient to Early

DRA 321 Directing 4 credits

DRA 331 Design for the Theater 4 credits

DRA 350 Theater for Social Action 4 credits

DRA 352 Theater and Therapy 4 credits

DRA 373 The Theatrical Imagination 4 credits

DRA 375 New Performance 4 credits

Modern) 4 credits

DRA 273 Performance Histories (1600-1900) 4 credits

DRA 274 Performance Histories (1901-Present) 4credits

DRA 305 Fusions: Theatre and Identity in the 21stCentury 4 credits

DRA 306 Text/Performance/Adaptation 4 credits

DRA 315 Theatre and Education 4 credits

DRA 321 Directing 4 credits

DRA 331 Design for the Theater 4 credits

DRA 350 Theater for Social Action 4 credits

DRA 375 New Performance 4 credits

DRA/WGS 380 Women in Performance 4 credits

RATIONALE: These changes bring the minor in sync with the current requirements for the Drama BScurriculum.

AIII.7 Change in existing Bachelor of Arts in Psychology and Bachelor of Arts in MHC Psychology(Program Code: 60272)


FROM:

Pre-Major Requirements: 7 credits

PSY 100 Psychology 3 credit

MTH 123 College Algebra and Trigonometry orhigher (except MTH 217/MTH 218) 4 credit

A minimum grade of C is required in both PSY 100and MTH 123 or higher (except MTH 217/MTH 218).Students will be allowed the repeat the courses, ifnecessary.

Major Requirements: 38-42 credits

Effective Fall 2015 for entry, continuation, andgraduation from the Bachelor of Arts in Psychology,students must have at minimum 2.5 grade pointaverage (GPA).

TO:

Pre-Major Requirements: No change

Major Requirements: 38-42 credits

Effective Fall 2015 for entry, continuation, andgraduation from the Bachelor of Arts in Psychology,students must have at minimum 2.5 grade pointaverage (GPA).

Psychology majors must complete:

A.

PSY 201 Foundations of Psychological Research 4credits

PSY 266 Statistics in Psychology 4 credits

PSY 352 History and Systems of Psychology 4credits

Psychology majors must complete:

A.

PSY 201 Foundations of Psychological Research 4credits

PSY 266 Statistics in Psychology 4 credits

PSY 352 History and Systems of Psychology 4credits

And a psychology laboratory course chosen from: 6credits

PSY 330 Experimental Psychology: Cognition andPerception

or

PSY 333 Experimental Psychology: Learning andBehavior

or

PSY 334 Experimental Psychology: Social andPersonality

or

PSY 335 Experimental Psychology: ChildDevelopment

B. Twenty additional credits in psychology at the 200level or higher including at least four credits at the300 or 400 level. Courses should be chosen inconsultation with an advisor in accordance withstudent goals. PSY 594 may be used once to satisfythe 300 or 400 level requirement.

C. Foreign Language Requirement 0-4 credits

Demonstration of proficiency in a foreign languagethrough the intermediate level, 213 or above.

ELECTIVES: 33-37 credits

TOTAL CREDITS: 120

And a psychology laboratory course chosen from: 6credits

PSY 330 Experimental Psychology: Cognition andPerception

or

PSY 333 Experimental Psychology: Learning andBehavior

or

PSY 334 Experimental Psychology: Social andPersonality

or

PSY 335 Experimental Psychology: ChildDevelopment

B. Twenty additional credits in psychology at the 200-level or higher including at least four credits at the300- or 400-level. Courses should be chosen inconsultation with an advisor in accordance withstudent goals for graduate study. Please note: PSY593, 594, 597, and 598 may count (for up to 4credits) as equivalent to a 200-level course.

C. Foreign Language Requirement 0-4 credits

Demonstration of proficiency in a foreign languagethrough the intermediate level, 213 or above.

RATIONALE: This is a minor clarification change to our B.A. program (that mirrors a change to our B.S.). Ourdepartment identified a mismatch between our departmental advising practice and philosophy and an error inour wording for the B.A. major to use PSY 593, 594, 597, or 598 once to count towards a 200-level electivecourse. Mistakenly, the catalog lists that only one of these Independent Study or Internship courses (594)

could instead count for a 300- or 400-level elective. The present change extends the allowed courses toinclude 593, 597, and 598, and fixes the error in wording in line with departmental goals, so this independentstudy or internship can count towards a 200-level elective course, but students are still required to take ahigher-level elective course as well (300- or 400-level) and the 500-level 59X course will not take the place ofthat higher-level elective.

AIII.8 Removed by Reviewer



AIII.10 Change in existing Doctorate in Physical Therapy (Program Code: 35988)


FROM:

PHT 70100 Clinical Anatomy 4;6 Fall, 1

PHT 70200 Medical Terminology 1 Online Fall, 1

PHT 70300 Foundations of Patient Care 2 4 Fall, 1

PHT 70400 Introduction to PT Practice & Ethics 2;2Fall, 1

PHT 70500 Upper Extremity Kinesiology &Assessment 2;3 Fall, 1

PHT 70600 Psychosocial Aspects of Clinical Practice2;2 Fall, 1

PHT 71000 Evidence Based Research 2;2 Fall, 1

PHT 72000 Human Physiology & ExercisePhysiology 4;4 Fall 1

PHT 73000 Structure & Function of the NervousSystem 3;3 Spring, 1

PHT 74000 PT Prevention & Intervention 4;6 Spring,1

PHT 75000 Physical Modalities: Clinical DecisionMaking & Application 3;5 Spring, 1

PHT 76000 Lower Extremity & Kinesiology &Assessment 2;4 Spring, 1

PHT 77000 Directed Research I 1;3 Spring, 1

PHT 78000 Clinical Medicine for PT 3;3 Spring, 1

TO:

PHT 701 Clinical Anatomy 4;6 Summer 1

PHT 702 Medical Terminology 1;1 Summer 1

PHT 703 Foundations of Patient Care 2;4 Fall, 1

PHT 704 Introduction to PT Practice & Ethics 2;2Fall, 1

PHT 705 Upper Extremity Kinesiology & Assessment2;3 Fall, 1

PHT 706 Psychosocial Aspects of Clinical Practice2;2 Fall, 1

PHT 770 Evidenced-Based Research I 1; 3 Fall, 1

PHT 720 Human Physiology & Exercise Physiology4;4 Fall 1

PHT 800 Introduction to MusculoskeletalExamination1;2 Fall, 1

PHT 730 Structure & Function of the NervousSystem 3;3 Spring, 1

PHT 740 PT Prevention & Intervention 4;6 Spring, 1

PHT 750 Physical Modalities: Clinical DecisionMaking & Application 3;5 Spring, 1

PHT 760 Lower Extremity & Kinesiology &Assessment 2;4 Spring, 1

PHT 710 Evidence Based Research 2;2 Spring 1

PHT 80100 Pulmonary PT 2;3 Spring, 1

PHT 79500 Integumentary System: Assessment andIntervention 1;2 Summer, 1

PHT 80000 Introduction to MusculoskeletalExamination1;2 Summer 1

PHT 80900 Directed Research II 1;3 Summer, 1

PHT 87000 Health Promotion through Lifespan 2; 2Summer, 1

Year Two

PHT 80200 Clinical Education: Education Theories2;2 Fall, 2

PHT 80300 Differential Diagnosis & Intervention inClinical Orthopedics I 2;2 Fall, 2

PHT 80400 Introduction to Neurological PT 2;4 Fall,2

PHT 80500 Musculoskeletal Examination &Intervention I 2;4 Fall, 2

PHT 80600 Clinical Affiliation I 3;6 weeks Fall, 2

PHT 86000 Directed Research III 1;3 Fall, 2

PHT 80800 Differential Diagnosis in NeurologicalEvaluation1;3 Fall, 2

PHT 81000 Neurological Interventions I 3;5 Fall, 2

PHT 82000 Differential Diagnosis & Intervention inClinical Orthopedics II (Radiology & Imaging)3;3;Fall, 2

PHT 83000 Orthotics & Prosthetics 2;2;Spring, 2

PHT 84000 Differential Diagnosis & Intervention inClinical Neurology 3;3;Spring, 2

PHT 85000 Musculoskeletal Examination &Intervention II 3;5 Spring, 2

PHT 80700 Proprioceptive NeuromuscularFacilitation1;3 Spring, 2

PHT 88200 Pediatric Development 2;3 Spring, 2

PHT 81100 Cardiac Rehabilitation 2;3 Spring, 2

PHT 801 Pulmonary PT 2;3 Spring, 1

PHT 805 Musculoskeletal Examination & InterventionI 2;4 Spring 1

Year Two

PHT 795 Integumentary System: Assessment andIntervention 1;2 Summer, 2

PHT 802 Clinical Education: Education Theories 2;2Summer 2

PHT 808 Differential Diagnosis in NeurologicalEvaluation1;3 Summer 2

PHT 811 Cardiac Rehabilitation 2;3 Fall, 2

PHT 850 Musculoskeletal Examination & InterventionII 3;5 Fall, 2

PHT 810 Neurological Interventions I 3;5 Fall, 2

PHT 809 Thesis I, 1; 3 Fall, 2

PHT 803 Differential Diagnosis & Intervention inClinical Orthopedics I 2;3 Fall, 2

PHT 804 Introduction to Neurological PT 2;4 Fall, 2

PHT 806 Clinical Affiliation I 3;3 hours; 6 weeks Fall,2

PHT 830 Orthotics & Prosthetics 2;2;Spring, 2

PHT 840 Differential Diagnosis & Intervention inClinical Neurology 3;3;Spring, 2

PHT 860 Evidence Based Research III 1;3 Spring 2

PHT 870 Health Promoting through Lifespan 2;2Spring 2

PHT 807 Proprioceptive NeuromuscularFacilitation1;3 Spring, 2

PHT 882 Pediatric Development 2;3 Spring, 2

PHT 888 Thesis II 1;3 Spring, 2

PHT 884 Musculoskeletal Examination & InterventionIII 3;5 Spring 2

Year Three

PHT 88800 Directed Research IV 1;3 Spring, 2

PHT 88600 Clinical Affiliation II 4.5;9 weeksSummer, 2

Year Three

PHT 88000 Neurological Interventions II 2;4 Fall, 3

PHT 88100 Seminar in Departmental Organizationand Management 3;3 Fall, 3

PHT 88300 Pharmacology & Systems Review3;3Fall, 3

PHT 88400 Musculoskeletal Examination &Intervention III 3;5 Fall, 3

PHT 88500 Electroneuromyography & MotionAnalysis 2;2 Fall, 3

PHT 90000 Directed Research V 1;3 Fall, 3

PHT 88700 Clinical Decision Making 1;2 Fall, 3

PHT 87200 Topics in PT 1;3 Fall, 3

PHT 88950 Clinical Affiliations III 5;10 weeks Spring,3

PHT 89000 Clinical Affiliations IV 4.5; 9 weeksSpring, 3

Total Credits Required: 105

PHT 886 Clinical Affiliation II 4.5;4.5 hours, 9 weeksSummer, 3

PHT 820 Radiology & Imaging 3;3;Fall, 3

PHT 880 Abnormal Pediatric Development andAssessment 2;4 Fall, 3

PHT 881 Seminar in Departmental Organization andManagement 3;3 Fall, 3

PHT 883 Pharmacology & Systems Review3;3 Fall, 3

PHT 885 Electroneuromyography & Motion Analysis2;2 Fall, 3

PHT 900 Thesis III 1;3 Fall, 3

PHT 887 Clinical Decision Making 1;2 Fall, 3

PHT 872 Topics in PT 1;3 Fall, 3

PHT 889 Clinical Affiliations III 5; 5 hours, 10 weeksSpring, 3

PHT 890 Clinical Affiliations IV 4.5; 4.5 hours, 9weeks Spring, 3

Total Credits Required: No Change

RATIONALE: The change in degree is reflective of the changes in courses.

AIV.1 Department of Curriculum and Instructions and Department of Educational Studies (ProgramCode: 25959)

EFFECTIVE DATE: FALL 2018

Department/Program: Department of Curriculum and Instructions and Department of Educational StudiesCareer: GraduateAcademic Level: RegularSubject Area: EDECourse Number: EDE 691Course Title: Part I: Science Experiment Design for the Elementary SchoolsCatalog Description: Part I of a course to prepare elementary school teachers to develop inquiry-based

science experiments and demonstrations that can enhance students' learning of the standards-basedscience curriculum, meet needs of children with different learning styles, and create additional motivationfor learning science. The course will address the issues of integration of instructional technology into thescience curriculum while utilizing a variety of traditional and emerging technologies, such as the Internet,computer games, software packages, data collection devices and handhelds. Strong emphasis will beplaced on the development of conceptual understanding of key science ideas, use of performance-basedassessment of learning, differentiated instruction, and collaborative teaming. This course will be gradedPass/Fail.PREREQUISITE: Permission of the School of EducationPRE/COREQUISITE: n/aCredits: 2Contact Hours: 2Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a

RATIONALE: This proposal divides an existing 4 credit course, EDE 681, and into two 2-credit courses thatwill be offered over an academic year to special professional development programs or cohorts of students.



Department/Program: Department of Curriculum and Instructions and Department of Educational StudiesCareer: GraduateAcademic Level: RegularSubject Area: EDECourse Number: EDE 692Course Title: Part II: Science Experiment Design for the Elementary SchoolsCatalog Description: Part II of a course to prepare elementary school teachers to develop inquiry-basedscience experiments and demonstrations that can enhance students' learning of the standards-basedscience curriculum, meet needs of children with different learning styles, and create additional motivationfor learning science. The course will address the issues of integration of instructional technology into thescience curriculum while utilizing a variety of traditional and emerging technologies, such as the Internet,computer games, software packages, data collection devices and handhelds. Strong emphasis will beplaced on the development of conceptual understanding of key science ideas, use of performance-basedassessment of learning, differentiated instruction, and collaborative teaming. This course will be gradedPass/Fail.PREREQUISITE: Permission of the School of Education and EDE 691PRE/COREQUISITE: n/aCredits: 2Contact Hours: 2Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/a

General Education Component: n/a




Department/Program: Department of Curriculum and Instructions and Department of Educational StudiesCareer: GraduateAcademic Level: RegularSubject Area: EDECourse Number: EDE 693Course Title: Part I: Children’s Naïve Theories and Misconceptions in ScienceCatalog Description: Part I of a course that will examine the most common of children's naïve theories andmisconceptions in science and their sources. Students will analyze research about children'smisconceptions and develop teaching methods to refute the most widespread and enduring misconceptionsheld by elementary school students. This course will be graded Pass/Fail.PREREQUISITE: Permission of the School of EducationPRE/COREQUISITE: n/aCredits: 2Contact Hours: 2Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a




Department/Program: Department of Curriculum and Instructions and Department of Educational StudiesCareer: GraduateAcademic Level: RegularSubject Area: EDECourse Number: EDE 694Course Title: Part II: Children’s Naïve Theories and Misconceptions in ScienceCatalog Description: Part II of a course that will examine the most common of children's naïve theories andmisconceptions in science and their sources. Students will analyze research about children'smisconceptions and develop teaching methods to refute the most widespread and enduring misconceptions

held by elementary school students. This course will be graded Pass/Fail.PREREQUISITE: Permission of the School of Education and EDE 693PRE/COREQUISITE: n/aCredits: 2Contact Hours: 2Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a




Department/Program: Department of Curriculum and Instructions and Department of Educational StudiesCareer: GraduateAcademic Level: RegularSubject Area: EDECourse Number: EDE 695Course Title: Part I: Big Ideas of ScienceCatalog Description: Education research suggests that students improve their learning and understandingof science when connections are made to essential questions and big ideas. In science big ideas includeenergy, evolution and matter. Part I of a course that will enable students to develop deep, transferableunderstanding and skills by relating the concepts taught in the elementary science curriculum to science bigideas. This course will focus on the development of students' ability to understand the changing world inwhich they live. They develop this by utilizing a broad range of thinking skills and learning styles to promotemeaningful and deep learning. The course will include activities and experiments that address multiplelearning styles and abilities, and foster skill development including mathematics, scientific literacy andtechnical skills.This course will be graded Pass/Fail.PREREQUISITE: Permission of the School of EducationPRE/COREQUISITE: n/aCredits: 2Contact Hours: 2Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a




Department/Program: Department of Curriculum and Instructions and Department of Educational StudiesCareer: GraduateAcademic Level: RegularSubject Area: EDECourse Number: EDE 696Course Title: Part I: Big Ideas of ScienceCatalog Description: Education research suggests that students improve their learning and understandingof science when connections are made to essential questions and big ideas. In science big ideas includeenergy, evolution and matter. Part II of a course that will enable students to develop deep, transferableunderstanding and skills by relating the concepts taught in the elementary science curriculum to science bigideas. This course will focus on the development of students' ability to understand the changing world inwhich they live. They develop this by utilizing a broad range of thinking skills and learning styles to promotemeaningful and deep learning. The course will include activities and experiments that address multiplelearning styles and abilities, and foster skill development including mathematics, scientific literacy andtechnical skills. This course will be graded Pass/Fail.PREREQUISITE: Permission of the School of Education and EDE 695Credits: 2Contact Hours: 2Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a


AIV.7 Department of Computer Science (Program Code: 34902)


Department/Program: Department of Computer ScienceCareer: UndergraduateAcademic Level: RegularSubject Area: CSCCourse Number: CSC 425Course Title: Shared Memory Parallel ComputingCatalog Description: Parallel computing based on shared memory platform. Emphasis will be on sharedmemory architecture, OpenMP and GPU programming, analysis of correctness and performance of anOpenMP and GPU program, and algorithms that can be used on shared memory systems. The course willinclude both a theoretical component and a programming component.PREREQUISITE: CSC 326Credits: 4

Contact Hours: 5 (3 Lecture Hours, 2 Laboratory Hours)Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a

RATIONALE: This course updates the curriculum and will give students who are interested in HPC a chanceto take 4 CS elective credits in parallel computing.



Department/Program: Department of Computer ScienceCareer: UndergraduateAcademic Level: RegularSubject Area: CSCCourse Number: CSC 426Course Title: Applied CryptographyCatalog Description: An introduction to cryptography and its applications. The course examinescryptographic primitives that are building blocks of various cryptographic applications. The cryptographicprimitives include pseudorandom functions, symmetric cryptography, hash functions and messageauthentication codes, asymmetric cryptography, digital signatures and key exchange, and protocols. Alsocovered are implementation issues (e.g., key lengths, key management, standards, etc.), attacks, and anumber of real-life applications such as cryptocurrency and blockchain.PREREQUISITE: CSC 326 with a grade of C or higher or ISI 300 with a grade of C or higherCredits: 4Contact Hours: 4Liberal Arts: No

RATIONALE: Cryptography is an important fundamental course for cyber security and information security ingeneral. It is offered in most colleges and universities.



Department/Program: Department of Computer ScienceCareer: GraduateAcademic Level: RegularSubject Area: CSCCourse Number: CSC 767Course Title: Neural Networks and Deep LearningCatalog Description: Underlying theory, the range of applications, and learning from very large data sets.The following topics will be discussed: Deep hierarchies and learning mechanisms in humans; Artificialneural networks; Deep vs. shallow architectures; Representation learning; Principal and Independent

component analysis; Sparse representations; Convolutional neural networks; Restricted BoltzmannMachines; Deep Recurrent Networks; Applications to pattern recognition, speech recognition, naturallanguage processing, classification and clustering.PREREQUISITE: Admission to the Computer Science MS Program or permission of the Coordinator of theComputer Science MS Program.Credits: 3Contact Hours: 3Liberal Arts: No

RATIONALE: With the recent boom in Artificial Intelligence, Deep Learning and its underlying NeuralNetworks, are essential part of systems that must perform recognition, make decisions and operatemachinery. Deep Learning in Artificial Neural Networks (ANN) is relevant for Supervised, Unsupervised, andReinforcement Learning. This course will provide a thorough examination of the state-of-the-art and willpresent the mathematical and algorithmic foundations of Deep Learning in ANN. It has been demonstratedthat the automatic feature learning, which is the core of the Deep Learning approach, uncovers underlyingstructure in the big data leading to state-of-the-art results in tasks in vision, speech, natural languageprocessing, classification, clustering and rapidly in other domains as well.



Department/Program: Department of Computer ScienceCareer: GraduateAcademic Level: RegularSubject Area: CSCCourse Number: CSC 768Course Title: CryptographyCatalog Description: Theoretical foundations of modern (post-1980s) cryptography. The emphasis will beon formal definitions, precise assumptions, and rigorous proofs of security of various cryptographicprimitives. The topics and primitives include one-way functions, pseudo-random generators, pseudo-random and trapdoor permutations, computational security, cryptographic hash functions, private-keyencryption, message authentication codes, public-key encryption, digital signatures, commitment schemes.PREREQUISITE: Admission to the Computer Science MS Program or permission of the Coordinator of theComputer Science MS Program.Credits: 3Contact Hours: 3Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a

RATIONALE: Modern cryptography is an important foundation for computer security, network security, cybersecurity and information security in general. It is offered in most colleges and universities.



Department/Program: Department of Computer ScienceCareer: GraduateAcademic Level: RegularSubject Area: CSCCourse Number: CSC 769Course Title: Graph-Based Analysis for Big Data in Social NetworksCatalog Description: Mathematical foundations of social media analysis, and a comprehensive introductionto the use of graph theory in the study of social and digital media. Study of the confluence of graphanalysis, network theory, big data analysis, and signal processing. Algebraic and combinatorial graphtheory will be particularly applied for the analysis of graphs, in social media studies. Techniques such asparallel spectral clustering and distributed tensor decomposition will be discussed. As social media inheritsgrowing big data issues related to both size and content of the stored multimedia, strong emphasis will beplaced on the analysis of big data.PREREQUISITE: Admission to the Computer Science MS Program or permission of the Coordinator of theComputer Science MS Program.Credits: 3Contact Hours: 3Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a

RATIONALE: Recent changes in the World Wide Web (WWW) facilitated media information sharing amongusers, user-based content creation and remote collaboration. Social networks allow users to post publicprofiles and share them with friends, consequently creating virtual communities and networks. Postingrelevant media data (e.g., images, videos, music and text) in social media sites forces an increase ofmultimedia data storage, communication and consumption. Social media are concentrated on the creationand exchange of user-generated content, allowing users to create, search, share, rate and accessmultimedia data, thus creating a totally new media experience. This course addresses these scientific andtechnological issues, that is, the confluence of graph analysis, network theory, digital media, machinelearning, and big data analysis.

AIV.12 Department of History (Program Code: 34908)


Department/Program: Department of HistoryCareer: UndergraduateAcademic Level: RegularSubject Area: HistoryCourse Number: HST 112Course Title: New Approaches to HistoryCatalog Description: Innovative approaches to the study of History using engaging primary and secondarysource works with a History discovery lab component. It introduces students to approaches taken in recent

historical writing and research. Approaches covered will vary by semester and reflect the expertise of theinstructor. Emphasis will be placed on the development of analytical skills and argumentative writing.PRE or COREQUISITE: ENG 111Credits: 3Contact Hours: 4 hours (2 lecture hours; 2 laboratory hours)Liberal Arts: YesCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a

RATIONALE: This course aims to serve the needs and interests of incoming freshmen as well as studentswho are new to the study of History. Its design and purpose is based on recommendations from the mostrecent History Department self-study. Guided by pedagogical best practices, the “discovery lab” componentenriches student learning through an immersive experience with the tools of the historian outside the typicalclassroom setting. Examples of this kind of experience may include working with computers in the digitalhumanities, exploring museum exhibits, visiting historical sites, investigating the historian’s role in gaming,and learning imaging systems for navigating shipwrecks or remote archaeological sites. Such a course woulddraw on the full range of subject specialties within the department, allowing all professors to teach it. Thecourse is designed to enhance the “freshman experience” by building closer relationships early with faculty,and, by extension, aims to help with retention, grow the major, and improve mentoring and advisement.

AIV.13 School of Business (Program Code: 30775)


Department/Program: ManagementCareer: GraduateAcademic Level: RegularSubject Area: MGTCourse Number: MGT 725Course Title: Healthcare ManagementCatalog Description: Examines healthcare organizations from the perspective of strategic management.Applies lessons from service delivery, competitor analysis, and strategic planning to identify best practicesin managing health care organizations and planning for long term success.PREREQUISITE: BUS 605 or NRS 705Credits: 3Contact Hours: 3Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a

RATIONALE: NRS 705 was inadvertently left off when entered into the June 2017 CUR.



Department/Program: ManagementCareer: GraduateAcademic Level: RegularSubject Area: FNCCourse Number: FNC 710Course Title: Healthcare FinanceCatalog Description: Introductory healthcare finance for graduate level students. The course focuses on themost important accounting and financial management principles and concepts relevant to health servicesand public health organizations. Readings, lectures, and discussion are the primary learning tools.PREREQUISITE: BUS 605 or NRS 705Credits: 3Contact Hours: 3Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a




Department/Program: ManagementCareer: GraduateAcademic Level: RegularSubject Area: ISICourse Number: ISI 710Course Title: Information Systems for HealthcareCatalog Description: A survey of the fundamental concepts and activities of Information Technology (IT) asapplied to health care. Topics include electronic health records, knowledge-based systems in health care,telehealth, clinical decision support, consumer health informatics, e-Health, and the personal health record.Students will learn the enabling technologies for innovative health care solutions, methods of informationmanagement, strategies of health care information system implementation, governance models, and legalframeworks, focusing on the impact of IT on patient health, clinical decision making and public health policy.

PREREQUISITE: (BUS 605 or NRS 705) and FNC 600Credits: 3Contact Hours: 3Requirement Designation: Liberal Arts: No

Course Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a




Department/Program: ManagementCareer: GraduateAcademic Level: RegularSubject Area: BUSCourse Number: BUS 710Course Title: Labor Relations and Conflict ManagementCatalog Description: The study of the development of mutually beneficial labor relations in private andpublic sector workplaces. Through coursework, students are introduced to labor relation topics such asmanagement’s rights; daily contract administration issues and worker involvement, including grievances,mediation, arbitration and collective bargaining. Students will be given an opportunity to gain a deeperunderstanding of management and worker views while developing facilitation, critical thinking and creativeproblem solving skills.PREREQUISITE: (BUS 605 or NRS 705) and MGT 600Credits: 3Contact Hours: 3Requirement Designation: Liberal Arts: NoCourse Attribute (e.g. Writing Intensive, WAC, etc.): n/aGeneral Education Component: n/a


AV.1 Changes to be offered by the Department of Engineering Science and Physics (Program Code:36459)

FROM TO Department Engineering Science & Physics Department No changeCourse ENS 110 Engineering Graphics Course No changePrerequisite ENG 111 and MTH 30 or

permission of the MathematicsDepartment or an appropriatescore on the CUNY MathAssessment Test.

Prerequisite Passing the CUNY ACT Reading andWriting Tests and passing the CUNYCompass Math Test.

Corequisite n/a Corequisite n/aCredits 2 Credits No change

Hours 3 Hours No changeCatalogDescription

CAD (computer-aided drafting) isused throughout the course.Orthographic projections, anddrawings, dimensioning, workingdrawings, 3D space, spatialanalysis, isometric drawings.

CatalogDescription

Effective Effective Fall 2018

RATIONALE: The prerequisite was incorrectly recorded in the April 2017 CUR.

AV.2 Changes to be offered by the Department of Education (Program Code: 35143)

FROM TO Department Education Department No changeCourse EDC 440 Student Teaching and

Seminar in Early ChildhoodEducation I

Course No change

Prerequisite EDC 340, EDC 342 and a GPA of3.0 or above

Prerequisite No Change

Corequisite EDC 316, EDC 360 Corequisite No changeCredits 2 Credits 2-4Hours n/a Hours No changeCatalogDescription

Practice and problem-solving inearly childhood classrooms, pre-Kthrough 2. Designed for publicschools. Students will be inattendance at the assigned school2.5 days per week for a completesemester. Students will beobserved provisioning andinteracting with small and largergroupings of children. Studentsmeet once a week for two hours ina seminar to reflect upon theeducational philosophies they havestudied and the methodologiesthey are currently implementing intheir own classrooms as theydevelop their own approaches toteaching and learning. Applicationfor a student teaching assignmentmust be completed and filed withthe Student Teaching Office thesemester preceding the semesterin which the student plans tostudent teach. Students must alsosubmit three letters of

CatalogDescription

recommendation from full-timeEducation faculty. Graded Pass (P)or Fail (F).


RATIONALE: The credit amount for this course was recorded in the June 2017 CUR. Variable credit isneeded for this course to address the different cohorts entering and exiting the sequence.

AV.3 Changes to be offered by the Department of Management (Program Code: 30775)

FROM TO Department Management Department No changeCourse MKT 730 Services Marketing and

ManagementCourse MKT 730/MGT 735 Services Marketing

and ManagementPrerequisite MKT 600 Prerequisite MKT 600, MGT 600Corequisite n/a Corequisite No changeCredits 3 Credits No changeHours 3 Hours No changeCatalogDescription

This course applies marketingand management principles to theunique requirements of serviceindustries (financial, legal,accounting, medical, etc.). Thespecial roles of the marketer,service provider, and customer inthe process of creating anddelivering value are considered.Emphasis is given to the utility ofthe Internet for identifyingprospects, delivering services,enhancing value, andstrengthening relational bonds.The course employs textreadings, case analysis, andother exercises to build keythemes.

CatalogDescription


RATIONALE: The field has evolved since the course was first designed in 2002. The management of servicehas evolved and is now more fully integrated with the marketing of service. It is appropriate to reflect thisblend through cross-listing.

AV.4 Changes to be offered by the Department of Computer Science (Program Code: 34902)

FROM TO Department Computer Science Department No changeCourse CSC 421 Internet Data Course CSC 421 Internet Data Communications

Communications and SecurityPrerequisite Prerequisite Corequisite n/a Corequisite No changeCredits 4 Credits No changeHours 6 Hours 4CatalogDescription

Designed to present a thoroughunderstanding of the Internetstructure, its functionality, and thetechnology. This course coversnetworks and how they work;Internet protocols; Internet controlprotocols; Internet and www,Internet clients and servers andtheir main features; Internetapplications and related protocols;Internet and www security;encryption, public-keycryptography, authentication, andIP security.

CatalogDescription

An introduction to the Internet, Internetapplications, and computer networking.The course examines the key concepts,principles, and technologies that maketoday’s Internet possible. Morespecifically, it covers Internet design andimplementation, layered architectures,network components, applications andrelated protocols, transport protocols, flowand congestion controls, Internet protocols(IPv4, IPv6), routing algorithms, data linkprotocols, network programming, andnetwork security.


RATIONALE: The new description reflects the state of current technology. The old hours/credits reflects thefact that historically technologies were unavailable to students and closed labs were needed, but that thingshave changed.


FROM TO Department Computer Science Department No changeCourse CSC 712 Compiler Construction Course No changePrerequisite CSC 727 Prerequisite Admission to the Computer Science MS

Program or permission of the Coordinatorof the Computer Science MS Program.

Corequisite n/a Corequisite No changeCredits 3 Credits No changeHours 3 Hours No changeCatalogDescription

The grammars of programminglanguages: lexical analyzers,parsers, code emitters, andinterpretation; global andpeephole optimization; run-timesupport; error management;translatory writing systems.

CatalogDescription

No change


RATIONALE: Updating the prerequisites.

http://www.csi.cuny.edu/catalog/graduate/csc-727-algorithms-and-information-structures.htm


FROM TO Department Computer Science Department No changeCourse CSC 716 Advanced Operating

SystemsCourse No change

Prerequisite CSC 632 or CSC 332(undergraduate OperatingSystems or equivalent)

Prerequisite Admission to the Computer Science MSProgram or permission of the Coordinatorof the Computer Science MS Program.


Advanced topics in computeroperating systems with a specialemphasis on distributedcomputing, and the servicesprovided by distributed operatingsystems and real-time operatingsystems. Topics may include:multithreading, real-timescheduling, synchronization, andconcurrency; interaction ofconcurrent processes; networkmanagement and computersecurity; protection, remoteprocedure calls, transactions,shared memory, messagepassing, and scalability; otherselected topics in state-of-the-artoperating systems.

CatalogDescription

No change




FROM TO Department Computer Science Department No changeCourse CSC 735 Machine Learning and

Data MiningCourse No change

Prerequisite CSC 731 or equivalent Prerequisite Admission to the Computer Science MSProgram or permission of the Coordinatorof the Computer Science MS Program.

Corequisite n/a Corequisite No changeCredits 3 Credits No changeHours 3 Hours No change

http://www.csi.cuny.edu/catalog/graduate/csc-632-operating-systems-design-and-implementation.htm

CatalogDescription

Topics in machine learning will beapplied to data mining and imageunderstanding. Topics mayinclude: neural networks, decisiontrees, support vector machines,Bayesian learning, associationrules, cluster analysis, fuzzy logic,linear regression, visualizationmethods, and additional currenttopics in this field.

CatalogDescription

No change




FROM TO Department Computer Science Department No changeCourse CSC 747 Digital Signal

ProcessingCourse No change

Prerequisite CSC 755 Prerequisite Admission to the Computer Science MSProgram or permission of the Coordinatorof the Computer Science MS Program.


Analysis and design of computer-based digital signal processors.Statement of the digital signalprocessing problem and itsapplications. Topics may include:Stochastic models of randomsignals; spectral factorization;linear estimation of randomsignals: Wiener, Kalman, andleast squares estimation; linearprediction and related topics;adaptive filters; microcomputerimplementation of digital signalprocessors. Discrete FourierTransform, FFT parallelprocessing of discrete operation.Morphological signal processing

CatalogDescription

No change




http://www.csi.cuny.edu/catalog/graduate/csc-755-applied-mathematics-for-computer-science.htm

FROM TO Department Computer Science Department No changeCourse CSC 757 Communication

NetworksCourse No change

Prerequisite CSC 740 Prerequisite Admission to the Computer Science MSProgram or permission of the Coordinatorof the Computer Science MS Program.


Motivations and objectives ofcomputer networks; overview oflayered architecture and the ISOReference Model; networkfunctions, circuit-switching andpacket-switching; physical levelprotocols; data link protocolsincluding HDLC and multi-accesslink control. Network control,transport, and session protocolsincluding routing flow control; end-to-end communication and inter-networking. Presentation layerprotocols including virtual terminaland file transfer protocols,cryptography, and textcompression. Specific examplesand standards will be citedthroughout the course for point-to-point, satellite, packet radio, andlocal networks.

CatalogDescription

No change




FROM TO Department Computer Science Department No changeCourse CSC 758 Media Transmission and

CharacteristicsCourse No change

Prerequisite CSC 740 or CSC 757 Prerequisite Admission to the Computer Science MSProgram or permission of theCoordinator of the Computer Science MSProgram.

Corequisite n/a Corequisite No change

http://www.csi.cuny.edu/catalog/graduate/csc-755-applied-mathematics-for-computer-science.htmhttp://www.csi.cuny.edu/catalog/graduate/csc-755-applied-mathematics-for-computer-science.htm

Credits 3 Credits No changeHours 2 lecture hours; 1 conference hour Hours No changeCatalogDescription

Basic requirements of transmissionmedia, fiber-optic medium, typicalattenuation and dispersioncharacteristics, mathematicaltreatment of the fiber medium. Thecopper medium, twisted wire pair,coaxial media, premisesdistribution system, role of newcables for high-speed digitalsystems, mathematical treatmentof the copper medium. Limits ofcopper-based telecommunicationsystems. Role of fiber and coaxialsystem, characterization, andlimitations.

CatalogDescription

No change




FROM TO Department Computer Science Department No changeCourse CSC 315 Introduction to Database

SystemsCourse No change

Prerequisite CSC 211 or ISI 300 Prerequisite CSC 326 or ISI 300Corequisite n/a Corequisite No changeCredits 4 Credits No changeHours 5 (3 hours lecture and 2 hour lab) Hours 4CatalogDescription

This course is an introduction todatabase systems with anemphasis on database design andimplementation, business datamodeling and analysis usingmodern data modeling languagesand tools (i.e. Entity Relationshipor UML models), as well as SQLquery design and development forefficient and dynamic dataprocessing in databaseapplications. Topics also includefundamental database designtechniques, basic concepts,methodologies and best practicesfor database optimizations anddata integrity.

CatalogDescription

No change


RATIONALE: This course satisfies the recommendation/suggestion from our last ABET accreditation visitand from our Industrial Advisory Board to require an entry level database course as part our core curriculum.Similarly, it will satisfy the AACSB accreditation requirement for a database course in the InformationSystems program. With the updated prerequisite, all student will have had experience with data structures.The change of hours places this course in line with other required courses. Also, students who wish toexplore databases further may now take CSC424 as an elective.

.


FROM TO Department Computer Science Department No changeCourse CSC 424 Database Management

SystemsCourse CSC 424 Advanced Database Systems

Prerequisite CSC 326 Prerequisite CSC 315Corequisite n/a Corequisite No changeCredits 4 Credits No changeHours 4 Hours No changeCatalogDescription

Introduction to database systems,concepts and architecture;conceptual data modeling with theEntity-Relationship Model; theRelational database model:concepts, languages, functionaldependencies, databasenormalization and design;programming in SQL; concepts ofintegrity, security, transactions,concurrency, recovery, distributedand object-oriented databases areintroduced. Study of several real-world database managementsystems. Students are required toimplement a database applicationproject. in the area of their majorinterest.

CatalogDescription

Extend the knowledge of databasesystems to cover non-traditionaldatabases. Topics covered may include:Parallel systems for Online TransactionProcessing (OLTP), column stores forOnline Analytical Processing (OLAP),transaction management, concurrent anddistributed databases (cloud databases),object-oriented and multimediadatabases, as well as NoSQL baseddatabases. Use of Hadoop and MapReduce for cloud databases.


RATIONALE: This course will cover advanced database topics, since CSC315, Introduction to DatabaseSystems will be a required course in the CSC curriculum.

AV.12 Changes to be offered by the Department of Engineering Science & Physics (Program Code:02841)

FROM TO

Department Engineering Science & Physics Department No changeCourse ENS 463/PHY 463 Introduction to

NanotechnologyCourse No change

Prerequisite ENS/PHY 485 Prerequisite ENS/PHY 485 or ENS 345Corequisite n/a Corequisite No changeCredits 4 Credits No changeHours 6 (2 lecture; 4 laboratory) Hours No changeCatalogDescription

This is an introductory course onnanotechnology. It covers thephysical basics of submicron- andnano-size structures, methodsand materials of nanotechnology,characterization of nanostructuresand their industrial applications.The course covers (i) mechanical,electronic, and optical propertiesof nanoscopic systems; (ii)engineering approaches in nano-electro-mechanics;nanoelectronics, andnanophotonics; (iii) practicalcomputer simulation and designof nanodevices; (iv) practicalnanofabrication of rudimentarynanodevices with focused ionbeams.

CatalogDescription

An introductory course onnanotechnology. It covers the physicalbasics of submicron- and nano-sizestructures, methods and materials ofnanotechnology, characterization ofnanostructures and their industrialapplications. The course covers (i)mechanical, electronic, and opticalproperties of nanoscopic systems; (ii)engineering approaches in nano-electro-mechanics; nanoelectronics, andnanophotonics; (iii) practical computersimulation and design of nanodevices; (iv)practical nanofabrication of rudimentarynanodevices with focused ion beams.


RATIONALE: Course is very timely in the material that it covers and will provided much needed option for theincreased number of students in the Engineering and Physics degrees. The change allows the ElectricalEngineering students who take ENS 345 and not ENS 485 to be eligible to take the course

. AV.13 Changes to be offered by the Department of Psychology (Program Code: 02874)

FROM TO Department Psychology Department No changeCourse PSY 288 Cognitive Psychology Course No changePrerequisite ENG 111 and COR 100 Prerequisite PSY 100, ENG 111 and COR 100Corequisite n/a Corequisite No changeCredits 4 Credits No changeHours 4 Hours No changeCatalogDescription

Cognitive psychologyencompasses a broad range oftopics related to higher mentalprocesses, including such areasas research methodology, brain

CatalogDescription

No change

physiology, learning, memory, andlanguage. This course is designedas an introduction to the field ofstudy in cognition. Throughlectures, demonstrations, andvideo presentations, severalobjectives will be met. Studentswill learn about the importantissues and debates in cognitivepsychology, how to apply thisknowledge to real-world situations,how to critically evaluate researchand ongoing debates in cognitivepsychology, and to develop criticalthinking skills. Readings, writingassignments, and tests will allreflect these objectives. (socialscience) NOTE: This coursesatisfies the College Option.


RATIONALE: This change is to fix an inconsistency whereby PSY 100 was not listed as a prerequisite for thiscourse even though it should be, as cognitive psychology is introduced in PSY 100 and will provide afoundation for subsequent learning in this domain of psychology. This change will make PSY 288 consistentwith our many other PSY 200-level courses that have PSY 100 as a prerequisite.

AV.14 Changes to be offered by the Department of Mathematics (Program Code: 34910)

FROM TO Department Mathematics Department No changeCourse MTH 334 Differential Equations Course No changePrerequisite MTH 233 or MTH 236 Prerequisite MTH 233 and MTH 338Corequisite n/a Corequisite No changeCredits 4 Credits No changeHours 4 Hours No changeCatalogDescription

Formulation and solution ofordinary differential equations.Reduction of order, operationaltechniques, a place system ofequations, Frobenius methods,boundary value problems,transform solutions, specialfunctions, and existence anduniqueness theorems.Applications from science andengineering. Credit will not begiven for both MTH 330 and MTH334.

CatalogDescription

No change


RATIONALE: The difference between MTH 330 and MTH 334 is that the former includes a substantialtreatment of material from MTH 338 (linear algebra). It has been the assumption that students havepreviously taken MTH 338 prior to MTH 334, and this changes will ensure this is checked on registration.

AV.15 Changes to be offered by the Department of Social Work (Program Code: 36439)

FROM TO Department Social Work Department No changeCourse SWK 764 MSW Integrative

Seminar IIICourse No change

Prerequisite n/a Prerequisite (SWK 674 and SWK 675) or AdvancedStanding

Corequisite SWK 655 and SWK 754 Corequisite SWK 754Credits 1 Credits No changeHours 1 Hours No changeCatalogDescription

First of two advanced integrativeseminar courses. This coursesupports the educational focus ofstudents’ agency-basedinternship. The course assistsstudents in applying in theiragencies the knowledge acquiredthroughout the MSW advancedcurriculum, and in acquiring newknowledge to inform theirpractice. The seminar providesopportunities to analyze andcritically reflect upon placementexperiences and to link theseexperiences with ideas andconcepts from class and relatedreadings. Students discusspractice concerns and examineissues of professionaldevelopment. By exchanginginformation in the seminar,students broaden their internshipeducation beyond their individualplacements and gain anunderstanding of social workpractice in diverse settings. Agrade of B or better is required inthis course.

CatalogDescription

Supports the educational focus ofstudents’ agency-based internship. Thecourse assists students in applying in theiragencies the knowledge acquiredthroughout the MSW advancedcurriculum, and in acquiring newknowledge to inform their practice. Theseminar provides opportunities to analyzeand critically reflect upon placementexperiences and to link these experienceswith ideas and concepts from class andrelated readings. Students discusspractice concerns and examine issues ofprofessional development. By exchanginginformation in the seminar, studentsbroaden their internship education beyondtheir individual placements and gain anunderstanding of social work practice indiverse settings. A grade of B or better isrequired in this course.


RATIONALE: The course is part of the field internship experience for students. The seminar provides

opportunities to analyze and critically reflect upon placement experiences and to link these experiences withideas and concepts from class and related readings. Students discuss practice concerns and examine issuesof professional development. By exchanging information in the seminar, students broaden their internshipeducation beyond their individual placements and gain an understanding of social work practice in diversesettings. Students also must have completed the first full internship (SWK 675) and the accompanyingseminar (SWK 674) prior to starting the second full internship (SWK 754) and this seminar (SWK 764), thusthe pre and co requisites are changed above to reflect this.


FROM TO Department Social Work Department No changeCourse SWK 710 Social Work Macro

Practice in OrganizationsCourse No change

Prerequisite Admission to the MSW Programand SWK 732

Prerequisite Admission to the MSW Program

Pre orCorequisites

n/a Pre orcorequisite

SWK 732

Credits 3 Credits No changeHours 3 Hours No changeCatalogDescription

Advanced practice course thataddresses principles and appliedSocial Work Macro Practiceconcepts that acknowledgehuman variances referred to as“disabilities” within the context ofsocial service agencies andlegislation. The socialconstruction model frames bestpractices for strategic planning,communication philosophy andpractice, organizationalgovernance, and networking andsupervision, that also promotepolicies and programs forinclusion and full inclusion ofpeople with individual differences.

CatalogDescription

Supports the educational focus ofstudents’ agency-based internship. Thecourse assists students in applying in theiragencies the knowledge acquiredthroughout the MSW advancedcurriculum, and in acquiring newknowledge to inform their practice. Theseminar provides opportunities to analyzeand critically reflect upon placementexperiences and to link these experienceswith ideas and concepts from class andrelated readings. Students discusspractice concerns and examine issues ofprofessional development. By exchanginginformation in the seminar, studentsbroaden their internship education beyondtheir individual placements and gain anunderstanding of social work practice indiverse settings. A grade of B or better isrequired in this course.


RATIONALE: The course provides students with information specific to social work practice in social serviceagencies and legislation. The new proposed course description more accurately reflects the content of thecourse and also reflects that students may be placed in social work internships (in social service agencies)that may or may not serve people with disabilities. SWK 732 is moved to a corequisite versus a prerequisiteto reflect advanced standing students who are entering the social work program taking SWK 714 alongsideSWK 732.


FROM TO Department Social Work Department No changeCourse SWK 704 Assessment and

Formulation in Social WorkPractice with People withDisabilities

Course No change

Pre orCorequisites

Completion of the foundation yearof the MSW program or AdvancedStanding status

Pre orcorequisite

Completion of the foundation year of theMSW program or Advanced Standingstatus, and SWK 702

Credits 3 Credits No changeHours 3 Hours No changeCatalogDescription

Second of four advanced practicecourses in the Social WorkPractice with People withDisabilities concentration. Secondof four advanced practice coursesin the clinical track. The courseexamines assessment andformulation from both the socialconstructionist and medicalmodels across the life span usingdisability studies and strengthsperspectives. Utilizing the DSM-5and other diagnostic tools andclassification schemes, studentslearn to formulate and applyassessment hypotheses andevaluate their utility for peoplewith disabilities. Students applythe intersection of race, ethnicity,social class, age, gender, andother sociocultural variables tothe diagnostic process. The classwill be taught utilizing casestudies. A grade of B or better isrequired in this course.

CatalogDescription

Second of four advanced practice coursesin the clinical track of the Social WorkPractice with People with Disabilitiesconcentration. The course examinesassessment and formulation from both thesocial constructionist and medical modelsacross the life span using disability studiesand strengths perspectives. Utilizing theDSM-5 and other diagnostic tools andclassification schemes, students learn toformulate and apply assessmenthypotheses and evaluate their utility forpeople with disabilities. Students apply theintersection of race, ethnicity, social class,age, gender, and other socioculturalvariables to the diagnostic process. Theclass will be taught utilizing case studies.A grade of B or better is required in thiscourse.


RATIONALE: The addition of a co/prerequisite of SWK 702 was included because the content of SWK 702informs and works in collaboration with the content of SWK 704. If students do not take SWK 702concurrently or before SWK 704 the

chancellor's university report · january 2018 chancellor’s university report – addendum...

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