BTech Artificial Intelligence
Objectives
The objectives of BSAI degree program are as follow:
• Cultivate the student with theories, knowledge of concepts, practices and applications required of a professional associated in field of Artificial Intelligence.
• Become familiar with current technologies and tools while learning new methodologies that will lead to the development of Artificial Intelligence systems.
• Assess the impact of the ethical, social and legal issues in regard of developing Artificial Intelligence Systems.
Role and Scope
With degree program of BS in Artificial Intelligence, a student may seek employment in trades, industries and professions that rely heavily on computing systems. Students may seek employment as Machine Learning Engineer, Data Scientist, Business Intelligence Developer, Big Data Engineer or several other exciting jobs.
semesters and courses
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Duration
8 Semesters (4 years)
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Eligibility
Minimum 50% marks in Intermediate or Higher Secondary School Certificate (HSSC) examination with Mathematics or equivalent qualification with Mathematics certified by the Inter Board Committee of Chairmen (IBCC). The students of Intermediate (Pre-Medical) can take admission in all Bachelor computing programs (CS, SE, IT, AI, DS, CySec). All such students must pass deficiency courses of Mathematics of 6 credit hours within one year.
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credit hours
required132
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Fee Rs
699,600
Semester 1
| Course Code | Course Title | Credit Hours |
|---|---|---|
| ENG-111 | Functional English-I | 3 (3–0) |
| IS-112 | Islamic Studies/Ethics | 2(2-0) |
| IT-113 | Introduction to Information and Communication Technology | 3 (2–1) |
| AI-111 | Programming Fundamentals (Python) | 4 (3-1) |
| MATH-111 | Engineering Mathematics | 3 (3–0) |
| Credit Hours : | 15 |
Semester 2
| Course Code | Course Title | Credit Hours |
|---|---|---|
| ENG-121 | Functional English-II | 3 (3–0) |
| PS-122 | Pakistan Studies | 2 (2–0) |
| AI-122 | Data and Analysis | 3 (3–0) |
| MATH-123 | Calculus and Analytical Geometry | 3 (3–0) |
| AI-123 | Object Oriented Programming in Python | 4 (3-1) |
| HRM-234 | Human Resource Management | 3 (3–0) |
| Credit Hours: | 18 |
Semester 3
| Course Code | Course Title | Credit Hours |
|---|---|---|
| ENG-211 | Technical Report Writing & Presentation Skills | 3 (3–0) |
| MATH-211 | Introduction to Linear Algebra | 3 (3–0) |
| CS-211 | Visual Programming | 4(3-1) |
| AI-214 | Discrete Mathematics and Mathematical Reasoning | 3 (3–0) |
| AI-215 | Algorithms, Data Structures and Learning | 4(3-1) |
| Credit Hours: | 17 |
Semester 4
| Course Code | Course Title | Credit Hours |
|---|---|---|
| EE- 221 | Digital Logic Design | 4 (3-1) |
| CS-313 | Introduction to Database Systems | 4 (3-1) |
| CS-225 | Operating Systems | 4 (3-1) |
| Math-122 | Differential Equations | 3 (3–0) |
| STAT-311 | Probability & Statistics | 3 (3–0) |
| Credit Hours : | 18 |
Semester 5
| Course Code | Course Title | Credit Hours |
|---|---|---|
| CS-317 | Web Design and Development | 4 (3-1) |
| CE-222 | Software Engineering | 3 (3–0) |
| AI-316 | Introduction to Artificial Intelligence | 3 (3–0) |
| CS-315 | Computer Graphics | 3 (2–1) |
| CS-224 | Computer Networks | 4(3-1) |
| Credit Hours: | 17 |
Semester 6
| Course Code | Course Title | Credit Hours |
|---|---|---|
| CS-340 | Human Computer Interaction | 3 (3–0) |
| AI-327 | Introduction to Vision and Robotics | 3 (3–0) |
| CS-312 | Numerical Computing | 3 (3–0) |
| AI-328 | Computational Cognitive Science | 3 (3–0) |
| CS-325 | Theory of Automata and Formal Languages | 3 (3–0) |
| EE-311 | Principles and Design of IoT Systems | 4(3-1) |
| Credit Hours : | 19 |
Semester 7
| Course Code | Course Title | Credit Hours |
|---|---|---|
| CS-415 | Compiler Construction | 3 (2-1) |
| AI-410 | Intelligent Autonomous Robotics | 3 (3-0) |
| AI-411 | Machine Learning and Pattern Recognition | 3( 3-0) |
| CS-421 | Data and Network Securities | 4 (3-1) |
| CS-426 | Final Year Project(Phase –I) | 3 (0-3) |
| MGT-474 | Entrepreneurship | 3 (0-3) |
| Credit Hours : | 19 |
Semester 8
| Course Code | Course Title | Credit Hours |
|---|---|---|
| AI-422 | Algorithmic Foundations of Data Science | 3(3-0) |
| AI-423 | Introduction to Data Mining | 3(3-0) |
| CS-424 | Final Year Project (Phase –II) | 3(0-3) |
| Credit Hours : | 9 | |
| Total Credit Hours: | 132 |