t7 course report 10 6 2017€¦ · c. student results 1. distribution of grades s grades status...

9
Course Title: Qualitative Methods for Actuaries Code: MATH 372 Program: Actuarial Sciences Department: Mathematics & Statistics Institution: KFUPM Academic Year: 2019/2020 Semester: 191 Course Coordinator: Suliman Alhomidan Date: 19/1/2020

Upload: others

Post on 14-Jun-2020

2 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

Course Title: Qualitative Methods for Actuaries

Code: MATH 372

Program: Actuarial Sciences

Department: Mathematics & Statistics

Institution: KFUPM

Academic Year: 2019/2020

Semester: 191

Course Coordinator: Suliman Alhomidan

Date: 19/1/2020

Page 2: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

2

Table of Contents A. Course Identification .................................................................................................... 3

B. Course Delivery ............................................................................................................. 3

1. Course Contact Hours (per semester) ...................................................................................... 3

2. Topics not Covered ................................................................................................................ 3

3. Teaching Strategies ................................................................................................................. 3

4. Activities/Assessment Methods .............................................................................................. 3

5. Verification of Credibility of Students’ Results ...................................................................... 4

6. Recommendations ................................................................................................................... 4

C. Student Results ............................................................................................................. 5

1. Distribution of Grades ............................................................................................................. 5

2. Comment on Student Results .................................................................................................. 5

3.Recommendations .................................................................................................................... 5

D. Course Learning Outcomes ......................................................................................... 5

1. Course Learning Outcomes Assessment Results .................................................................... 5

2. Recommendations ................................................................................................................... 7

E. Course Quality Evaluation ......................................................................................... 7

1. Students Evaluation of the Quality of the Course ................................................................... 7

2. Other Evaluations .................................................................................................................... 7

3.Recommendations : .................................................................................................................. 8

F. Difficulties and Challenges ........................................................................................... 8

G. Course Improvement Plan .......................................................................................... 9

1. Course Improvement Actions .................................................................................................. 9

2. Action Plan for Next Semester/Year ..................................................................................... 9

Page 3: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

3

A. Course Identification

No Instructor(s) Location Number of

Sections

Number of Students

Starting the

course

Completing

the course

1 S. Al-Homidan Main Campus 1 8 8

B. Course Delivery

1. Course Contact Hours (per semester)

No. Activity Planned Actual

1 Lecture 45 41

2 Laboratory/Studio 0 22

3 Tutorial 0 0

4 Others (Specify) 0 0

Total 45 63

2. Topics not Covered

Topics Reason

for Not Covering

Extent of their

Impact on Learning

Outcomes Compensating Action*

None

*Compensating actions already taken or suggested

3. Teaching Strategies

Planned Teaching Strategies

Were They

Implemented?

Difficulties

Experienced (if any)

in Implementation

Suggested Action

Yes No

Lecture yes None None

Laboratory yes None None

Homework yes None None

Assignment yes None None

4. Activities/Assessment Methods

Activities/Planned Assessment Methods

Were They

Implemented?

Difficulties

Experienced (if any)

in Implementation

Suggested Action

Yes No

Lecture yes None

Laboratory yes None

Exam yes None

Homework yes None

Assignment yes None

Page 4: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

4

5. Verification of Credibility of Students’ Results

Method(s) of Verification Conclusions

6. Recommendations

1. Coverage of Planned

Program

Topics Covered

Planned

Contact

Hours

Actual

Contact

Hours

Reason for Variations if

there is a difference of more

than 25% of the hours

planned

Round-off Errors and

Computer Arithmetic

2 2 No variation

MATLAB 0 2 MATLAB is an important

software for the course

Solutions of Equation in

one variable and

MATLAB

5 9 An extra 4 hours gave to

train students on programing

these problems in MATLAB.

First LAB 2 hours to write a

program in MATLAB for

Fixed- Point algorithm. The

second LAB 2 hours to write

a program in MATLAB for

Newton algorithm.

Interpolation and

Polynomial approximation

and MATLAB

8 14 An extra 6 hours gave to

train students on programing

these problems in

MATLAB.

Two hours LAB for each

topic.

Numerical integration and

differentiation

5 5 No variation

Individual risk models; life

tables and MATLAB

2 4 Two hours LAB for

application using numerical

integration to solve

Individual risk models; life

tables problems

Initial and boundary value

problems of ODE and

MATLAB

5 7 Two hours LAB

Solution of linear algebraic

systems and MATLAB

2 2 No variation

Page 5: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

5

Discrete Least Square

approximation and

MATLAB

3 5 Two hours LAB

Finite-Difference Methods

for Linera Problems

3 5 Two hours LAB

Linear Programming,

Simlex Method

3 5 Two hours LAB

Duality, Quadratric

Programming

3 3 No variation

C. Student Results

1. Distribution of Grades

Grades Status Distributions

A+ A B+ B C+ C D+ D F

Den

ied

En

try

In P

rog

ress

Inco

mp

lete

Pas

s

Fai

l

Wit

hd

raw

n

Number of

Students 0 0 1 2 1 3 1 0 0 0 0 0 8 0 0

Percentage 0 0 12 25 12 38 12 0 0

2. Comment on Student Results

(including special factors (if any) affecting the results)

No special factor to mention.

3.Recommendations

None

D. Course Learning Outcomes

1. Course Learning Outcomes Assessment Results

List course learning

outcomes

List methods of

assessment for each LO

Summary analysis of

assessment results for

each LO

1 Round-off Errors and

Computer Arithmetic

Ev# 1: HW# 1 Pr# 01 Ev# 1: 80.00

Page 6: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

6

2 MATLAB LAB# 1 NO Ev

3 Solutions of Equation

in one variable and

MATLAB

Ev# 01: Exam# 1 Pr# 01

Ev# 02: Exam# 1 Pr# 02

Ev# 03: Exam# 1 Pr# 03

Ev# 04: Exam# 3 Pr# 01

Ev# 05: Exam# 3 Pr# 09

Ev# 06: HW# 1 Pr# 01

Ev# 07: HW# 1 Pr# 02

Ev# 08: HW# 1 Pr# 03

Ev# 09: HW# 2 Pr# 01

Ev# 10: HW# 2 Pr# 02

Ev#11: HW# 2 Pr# 03

Ev#12: LAB# 2

Ev#13: LAB# 3

Ev# 1: 87.00

Ev# 2: 91.00

Ev# 3: 88.00

Ev# 4: 52.00

Ev# 5: 42.00

Ev# 6: 91.00

Ev# 7: 93.00

Ev# 8: 91.00

Ev# 9: 88.00

Ev#10: 77.00

Ev# 11: 92.00

Ev# 12: 75.00

Ev# 13: 83.00

Overall= 88.00%

4 Interpolation and

Polynomial

approximation and

MATLAB

Ev# 01: Exam# 1 Pr# 04

Ev# 02: Exam# 1 Pr# 05

Ev# 03: Exam# 1 Pr# 05

Ev# 04: Exam# 2 Pr# 01

Ev# 05: Exam# 2 Pr# 02

Ev# 06: Exam# 2 Pr# 04

Ev# 07: Exam# 3 Pr# 02

Ev# 08: Exam# 3 Pr# 03

Ev# 09: HW# 3 Pr# 01

Ev# 10: HW# 4 Pr# 01

Ev#11: LAB# 4

Ev#12: LAB# 5

Ev#13: LAB# 6

Ev# 1: 87.00

Ev# 2: 91.00

Ev# 3: 88.00

Ev# 4: 79.00

Ev# 5: 85.00

Ev# 6: 74.00

Ev# 7: 55.00

Ev# 8: 35.00

Ev# 9: 88.00

Ev#10: 75.00

Ev# 11: 75.00

Ev# 12: 65.00

Ev# 13: 80.00

Overall= 75. %

5 Numerical integration

and differentiation

Ev# 1: Exam# 2 Pr# 03

Ev# 2: Exam# 2 Pr# 07

Ev# 1: 80

Ev# 2: 75

Overall= 77.5%

6 Individual risk models;

life tables and

MATLAB

Ev# 1: Exam# 3 Pr# 04

Ev# 2: Exam# 3 Pr# 10

Ev# 3: HW# 5 Pr# 01

Ev# 4: HW# 5 Pr# 02

Ev# 5: LAB# 7

Ev# 6: Project Pr# 01

Ev# 1: 58.00

Ev# 2: 65.00

Ev# 3: 90.00

Ev# 4: 80.00

Ev# 5: 85.00

Ev# 6: 45.00

Overall= 70. %

7 Initial and boundary

value problems of

ODE and MATLAB

Ev# 1: Exam# 2 Pr# 05

Ev# 2: Exam# 3 Pr# 06

Ev# 3: LAB# 8

Ev# 1: 85.00

Ev# 2: 65.00

Ev# 3: 80.00

Overall= 77. %

8 Solution of linear

algebraic systems and

MATLAB

Ev# 1: Exam# 2 Pr# 06

Ev# 2: HW# 6 Pr# 01

Ev# 3: LAB# 8

Ev# 1: 85.00

Ev# 2: 80.00

Ev# 2: 80.00

Overall= 82. %

9 Discrete Least Square

approximation and

MATLAB

Ev# 1: HW# 7 Pr# 2

Ev# 2: LAB# 9

Ev# 1: 90.0

Ev# 1: 85

Overall= 87. %

Page 7: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

7

10 Finite-Difference

Methods for Linera

Problems

Ev# 1: Exam# 3 Pr# 08

Ev# 2: HW# 7 Pr# 1

Ev# 3: LAB# 9

Ev# 1: 55.00

Ev# 2: 45.00

Ev# 3: 80.00

Two hours LAB

Overall= 60. %

11 Linear Programming,

Simlex Method

Ev# 1: Exam# 3 Pr# 5

Ev# 2: HW# 8 Pr# 1

Ev# 3: LAB#10

Ev# 1: 60.00

Ev# 2: 40.00

Ev# 3: 85.00

Overall= 61. %

12 Duality, Quadratric

Programming

Ev# 1: Exam# 3 Pr# 5

Ev# 2: Exam# 3 Pr# 6

Ev# 3: HW# 9 Pr# 1

Ev# 1: 60.00

Ev# 2: 50.00

Ev# 3: 60.44

Overall= 57%

2. Recommendations

E. Course Quality Evaluation

1. Students Evaluation of the Quality of the Course

Course Evaluation

Question Code

Question Description A B C D E Mean Standard Deviation

Variance

01 The course content has a good balance between theory and application

0 3 4 0 0 2.43 0.53 0.29

02 The course has made me interested in the subject area

1 4 2 0 0 2.86 0.69 0.48

03 The course content adequately covers the course learning outcomes (CLOs) (abilities and skills)

1 3 3 0 0 2.71 0.76 0.57

Overall Overall rating of the Course Contents

0 2 4 1 0 2.14 0.69 0.48

Course Comments

Serial No. Open Comment

1 It should increase the lab time and provide sources to study the Matlab. It should balance between the theory and application.

2 The time of the lab is very short

كتاب سيء 3

. الكتاب يجب ان يتغير 4

2. Other Evaluations

(e.g., Evaluations by faculty, program leaders, peer reviewers, others)

Page 8: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

8

* Add separate table for each evaluation

Book Comments

Serial No. Open Comment

1 I believe there are another books that better than course book

الكتاب لم يعجبني 2

3.Recommendations :

F. Difficulties and Challenges

Difficulties and Challenges Consequences Actions Taken

Administrative Issues

We need to added lab to the

course, see students

comments

Learning Resources

Facilities

Question Code

Question Description A B C D E Mean Standard Deviation

Variance

01 The textbook / course material is effectively utilized in covering the course content

1 3 2 1 0 2.57 0.98 0.95

02 The textbook / course material is easy to understand

2 4 1 0 0 3.14 0.69 0.48

03 The textbook / course material is useful and has sufficient illustrations, examples and problems

1 3 2 1 0 2.57 0.98 0.95

Overall Overall rating of the Textbook and / or Course Material

0 0 2 5 0 1.29 0.49 0.24

Page 9: T7 Course Report 10 6 2017€¦ · C. Student Results 1. Distribution of Grades s Grades Status Distributions A+ A yB+ B C+ C D+ D F nied te s il wn Number of Students 0 0 1 2 1 3

9

G. Course Improvement Plan

1. Course Improvement Actions

Recommended

Actions Actions Taken Results Comments

a. Previous course Report Recommendations

We need to added

lab to the course

b. Other Improvement Actions*

none

* (The developmental measures taken during teaching the course and not included in the development plan of it)

2. Action Plan for Next Semester/Year

Recommendations Actions Responsibility

For

Implementation

Time Needed

Support Start End

1.

2.

3.