1. Development of ABET Syllabus
08/02/2012
Development of
ABET Syllabus
Adnan Harb

2. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores

3. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores

4. Overview Goal: Continuous improvement of the program
(Instructor reflection sheet)

5. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores

6. Course Performance Criteria PCs
08/02/2012
Course Performance Criteria (PCs) or Course Outcomes (COs)
Prepared by an expert in the course
Reasonable number 4-6 but not more than 8
Should summarize the course outcomes
Merge the chapters outcomes without ignoring any
Clear and use simple sentences
Use active verbs (Bloom’s taxonomy)

7. Bloom’s Taxonomy

8. Course Performance Criteria PCs Example: Electronic Circuits I
08/02/2012
A student who successfully fulfills the course requirements will have demonstrated:
An ability to describe electrical signals and amplifier models.
An ability to outline the relationship between the basic semiconductors principles and the corresponding electrical characteristic.
An ability to describe the essence of the diode function, apply the techniques for the analysis of diode circuits through modeling the diode characteristics, and use diodes for various applications, including design of rectifier circuits.
An ability to develop a high degree of familiarity with the MOSFET: its physical structure and operation, terminal characteristics, circuit models, DC biasing, small-signal operation and models, as well as its use in different amplifier configurations.
An ability to develop a high degree of familiarity with the BJT and BJT amplifiers: its physical structure and operation, terminal characteristics, circuit models, DC biasing, small-signal operation and models, as well as its use in different amplifier configurations

9. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores

10. ABET Program Students Outcomes (PSOs)
Student outcomes describe what students are expected to know and be able to do by the time of graduation. These relate to the knowledge, skills, and behaviors that students acquire as they progress through the program.
an ability to apply knowledge of mathematics, science, and engineering.
an ability to design and conduct experiments, as well as to analyze and interpret data.
an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
an ability to function on multidisciplinary teams.
an ability to identify, formulate, and solve engineering problems.
an understanding of professional and ethical responsibility.
an ability to communicate effectively.
the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
a recognition of the need for, and an ability to engage in life-long learning.
a knowledge of contemporary issues.
an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

11. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores

12. Course Learning Outcomes
08/02/2012
Course Learning Outcomes are a subset of PSOs ( a2k )
(a) an ability to apply knowledge of mathematics, science, and engineering.
(e) an ability to identify, formulate, and solve engineering problems.

13. Course Learning Outcomes
an ability to apply knowledge of mathematics, science, and engineering.
an ability to design and conduct experiments, as well as to analyze and interpret data.
an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
an ability to function on multidisciplinary teams.
an ability to identify, formulate, and solve engineering problems.
an understanding of professional and ethical responsibility.
an ability to communicate effectively.
the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
a recognition of the need for, and an ability to engage in life-long learning.
a knowledge of contemporary issues.
an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

14. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores

15. PCs to PSOs Mapping
Recall: The goal is to assess the program

16. Program Students Outcomes
PCs to PSOs Mapping
08/02/2012
The weight of contribution of a PC to a PSO is either Weak (1), Medium (2) or Strong (3)
Total weights for a PC cannot be more than 3
(a) and (e) are the course learning outcomes
Program Students Outcomes
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)
(i)
(j)
(k)
Performance Criteria
PC-1 3
PC-2
PC-3 2 1
PC-4
PC-5
PC-6
PC-7
PC-8

17. Example: Syllabus of Electronic Circuits I

18. Outline
Overview
Course Performance Criteria PCs ( or Course Outcomes COs)
Program Students Outcomes (PSOs)
Course Learning Outcomes
PCs to Program Students Outcomes (PSOs) mapping
Computing of PC and PSO scores (Transparent)

19. Computing of PC and PSO scores (1/5) Activity and Elements
08/02/2012

20. Computing of PC and PSO scores (2/5) Performance of a Student under a PC in an Activity
08/02/2012
Example: Electronic Circuits I Question

21. Computing of PC and PSO scores (3/5) Performance of a Student under a PC in an Activity
08/02/2012
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐,𝑎 𝑠 = 𝑊𝑒𝑖𝑔ℎ𝑡 𝑎 × 𝑒=1 𝑛𝑒 𝑀𝑎𝑟𝑘 𝑠,𝑒 𝑎 𝑀𝑎𝑟𝑘𝑀𝑎𝑥 𝑒 𝑎 ∙ 𝑀 𝑒,𝑎 𝑐 𝑒=1 𝑛𝑒 𝑀 𝑒,𝑎 𝑐
where,
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 c,a s =Performance of student s under PC 𝑐 in activity 𝑎
𝑀 𝑒,𝑎 𝑐 =Mapping of Element 𝑒 in activity 𝑎 to PC 𝑐
𝑀𝑎𝑟𝑘 𝑠,𝑒 𝑎 =Mark earned by the student 𝑠 in element 𝑒 of activity 𝑎
𝑀𝑎𝑟𝑘𝑀𝑎𝑥 𝑒 𝑎 =Maximum Mark of element 𝑒 of activity 𝑎
𝑊𝑒𝑖𝑔ℎ𝑡 𝑎 =Weight of activity 𝑎
𝑛𝑒=Number of Elements

22. Computing of PC and PSO scores (4/5) Performance of a Student under a PC in all Activities
08/02/2012
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐,𝑎 𝑠 = 𝑊𝑒𝑖𝑔ℎ𝑡 𝑎 × 𝑒=1 𝑛𝑒 𝑀𝑎𝑟𝑘 𝑠,𝑒 𝑎 𝑀𝑎𝑟𝑘𝑀𝑎𝑥 𝑒 𝑎 ∙ 𝑀 𝑒,𝑎 𝑐 𝑒=1 𝑛𝑒 𝑀 𝑒,𝑎 𝑐
Example
To assess the performance of a student (Samira), we observe that, in activity 1, she has marks of two elements that map to PC-01 with weights of 25% and 50%. In this two-element activity, which accounts for 10% of the total mark of the course, she got and for the first and second elements respectively. Therefore, her performance under PC-01 in activity 1 can be computed as follows:
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 1,1 𝑆𝑎𝑚𝑖𝑟𝑎 =10%× ∙25% ∙50% 25%+50% =6.94%
This figure represents the partial performance of Samira under PC-01 for one single activity. To compute the overall performance of this student under PC-01 for the whole course, we sum up the partial performance figures for all activities (na= Number of activities):
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐 𝑠 = 𝑎=1 𝑛𝑎 𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐,𝑎 𝑠

23. Computing of PC and PSO scores (5/5) Course Performance
08/02/2012
The course performance under a specific PC is averaged as follows (ns= Number of students):
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐 = 𝑠=1 𝑛𝑠 𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐 𝑠 𝑛𝑠
And the score of a PSO per student is calculated:
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑝 𝑠 = 𝑐=1 𝑛𝑐 𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑐 𝑠 ∙ 𝑀 𝑐 𝑝 𝑐=1 𝑛𝑐 𝑀 𝑐 𝑝
Where,
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑝 𝑠 =Performance of student s to PSO 𝑝
𝑀 𝑐 𝑝 =Mapping of PC 𝑐 to PSO 𝑝
nc= Number of PCs
And the course performance under a specific PSO is averaged as follows:
𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑝 = 𝑠=1 𝑛𝑠 𝑃𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒 𝑝 𝑠 𝑛𝑠