BS (Artificial Intelligence) Program
Details & Semester Outline for BS (Artificial Intelligence)
SZABIST offers a four-year (eight semesters) BS ARTIFICIAL INTELLIGENCE full time day program consisting of 41 courses and a 6 Credit Hour Research Project. Students have to complete 130 credits hours along with six weeks of internship to obtain BS Artificial Intelligence (BSAI) degree. The Maximum duration of the program is six years.
NOTE: Full time academic load is six courses. All students are required to register for full load in the first semester. All courses may not be necessarily offered every year. Alternate courses may be substituted as and when needed.
First Year |
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|---|---|
| Fall Semester | Spring Semester |
| CSC 1108 Introduction to Computer Science CSCL 1108 Lab: Introduction to Computer Science CSC 1103 Fundamentals of Programming CSCL 1103 Lab: Fundamentals of Programming CSC 1209 Islamic Studies/ Humanities CSC 1109 Pakistan Studies CSC 1101 Calculus and Analytical Geometry CSC 1102 English Composition and Comprehension |
CSC 1208 Object Oriented Programming Techniques CSCL 1208 Lab: Object Oriented Programming Techniques CSC 2103 Digital Logic Design CSCL 2103 Lab: Digital Logic Design CSC 2206 Linear Algebra CSC 1206 Probability and Statistics CSC 2101 Communication and Presentation Skills |
Second Year |
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| Fall Semester | Spring Semester |
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CSC 2102 Data Structures and Algorithms CSCL 2102 Lab: Data Structures and Algorithms CSC 2201 Computer Organization and Assembly Language CSCL 2201 Lab: Computer Organization and Assembly Language CSC 1201 Discrete Mathematical Structures CSC 4101 Artificial Intelligence CSCL 4101 Lab: Artificial Intelligence CSC 2122 Differential Equations |
CSC 3205 Computer Networks and Data Communications CSCL 3205 Lab: Computer Networks and Data Communications CSC 2203 Database Systems CSCL 2203 Lab: Database Systems CSC 3202 Design and Analysis of Algorithms AIC 2401 Programming for Artificial Intelligence AICL 2401 Lab: Programming for Artificial Intelligence AIC xxxx AI Elective – 1 |
Third Year |
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| Fall Semester | Spring Semester |
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CSC 2205 Operating Systems CSCL 2205 Lab: Operating Systems AIC 3501 Artificial Neural Networks AICL 3501 Lab: Artificial Neural Networks AIC 3503 Machine Learning AICL 3503 Lab: Machine Learning AIC 3502 Knowledge Representation and Reasoning CSC xxxx University Elective – 1 |
AIC 3601 Technical and Business Writing AIC 3602 Computing Vision AICL 3602 Lab: Computing Vision AIC 3603 Natural Language Processing CSC 3109 Software Engineering AIC xxxx AI Elective - 2 AIC xxxx University Elective – 2 |
Fourth Year |
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| Fall Semester | Spring Semester |
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CSC 4106 Parallel and Distributed Computing CSC 4102 Professional Practices AIC xxxx University Elective-3 AIC xxxx AI Elective-3 AIC 4707 Final Year Project-I |
AIC 4807 Final Year Project-II AIC 4xxx University Elective – 4 AIC 4801 Information Security AIC xxxx AI Elective – 4 |
Electives |
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|---|---|---|---|
| AI ELECTIVES | UNIVERSITY ELECTIVES | Mathematics & Science Foundation Courses | DISTRIBUTION OF CREDIT HOURS |
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AIC 4701 Advanced Statistics AIC 4706 Theory of Automata and Formal Languages AIC 4802 Data Mining AIC 4702 Deep Learning AIC 4805 Speech Processing AIC 4804 Reinforcements Learning AIC 4803 Fuzzy Systems AIC 4703 Evolutionary Computing AIC 4705 Swarm Intelligence AIC 4801 Agent Based Modeling AIC 4704 Knowledge Based Systems |
AIC 4504 Organizational Behavior AIC 4605 Research Report AIC 4603 Management Principles AIC 4601 Business and Technology Ethics AIC 4503 Introduction to Accounting AIC 4602 Foreign Languages AIC 4502 History of Scientific Ideas AIC 4501 Design and Creativity AIC 4505 Sociology AIC 4604 Psychology |
Coverage of relevant pre-requisite will be ensured
while allowing any of the following courses from this
category: 1. Calculus and Analytic Geometry 2. Linear Algebra 3. Probability and Statistics 4. Differential Equations |
I. Core Courses: i. Computing Core Courses 39 ii. Computer Science Core Courses 18 iii. General Education Courses 19 iv. Artificial Intelligence Core Courses 18 II. Elective Courses: i. Mathematics & Science Foundation Courses 12 ii. Artificial Intelligence Elective Courses 12 iii. Institutional Elective Courses 12 Total= 130 |