Artificial Intelligence

//Artificial Intelligence
Artificial Intelligence 2019-07-13T07:40:55+00:00

Overview

Artificial Intelligence supports a very dynamic program of research and education. Our educational curriculum provides a broad range of courses including introductory AI, automated planning, cognitive modeling, commonsense reasoning, evolutionary computation, game theory, machine learning, multi-agent systems, natural language processing, and neural computation. Work in Artificial Intelligence in the USA department involves foundational research in core areas of knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech and language processing. There are also significant efforts aimed at applying algorithmic advances to applied problems in a range of areas, including bioinformatics, networking and systems, search and information retrieval.

RoadMap

1st Year

1st Semester 2nd Semester
Code Course Title CH Pre-req Code Course Title CH Pre-req
CS-10001 Computer Systems and Application 3 – – – – CS-3224 Object Oriented Programming (Core) 3 Fundamental of Programming
CS-1170 Fundamental of Programming (Core) 3 – – – – ME-1013 Basic Electronics (Core) 3 Calculus and Analytical Geometry
CS-3265 Web Development 3 – – – – CS-6660 Database Management Systems (Core) 3 Computer Systems and Application
ENGL-3283 Communication Skills 3 – – – – MATH-2151 Discrete Mathematics (Core) 3 Calculus and Analytical Geometry
MTH-101 Calculus and Analytical Geometry 3 – – – – MGMT-1033 Principle of Management 2 —-
Semester Credit Hours: 15 Semester Credit Hours: 15

2nd Year

3rd Semester 4th Semester
Code Course Title CH Pre-req Code Course Title CH Pre-req
CS-3053 Software Engineering (Core) 3 Fundamental of Programming WEB.303 Web Engineering 3 Fundamental of Programming
CS-2106 Data Structure (Core) 3 Fundamental of Programming and Discrete Structure CS-3343 Database Development 3 Database Management Systems
ACCT-2210 Principle of Accounting 3 – – – – CS-3345 Data Communication and Network (Core) 3 —-
CS-3130 Digital Logic & Design (Core) 3 Discrete Structure and Basic Electronics ENG-10001 Comprehension and Composition 3 —-
MA-126 Linear Algebra 3 Calculus and Analytical Geometry MKTG-3401 Principle of Marketing 3 —-
HUM-38742 Pakistan and Islamic Studies 3 —- CS-1033 Operating System (Core) 3 Data Structure
Semester Credit Hours: 18 Semester Credit Hours: 18

3rd Year

5th Semester 6th Semester
Code Course Title CH Pre-req Code Course Title CH Pre-req
CS-4410 Machine Learning. 3 Object Oriented Programming CS-4170 Theory of Automata (Core) 3 Discrete Structure
CS-2013 Computer Architecture (Core) 3 Data Structure and Algorithms
Operating Systems
Digital Logic Design
CS 4063 Design of Intelligent Systems 3 Artificial Intelligence
ADP-534 Artificial Intelligence (Core) 3 Fundamental of Programming
Data Structure
Discrete Structure
CS-5021 Neural Networks 3 Calculas
linear algebra
discrete structures
CSMT-3010 Computer Networks 3 Data Communication and Network CSMT-3010 Human Computer Interaction (Core) 3 None
WEB 504 Semantic Web 3 Web Engineering CS-4596 Introduction to Quantum Computing 3 Operating Systems. Intro to AI
STAT-2013 Statistics and Probability 3 Calculus and Analytical Geometry CS-4596 Design of Intelligent Systems 3 Introduction to AI
Semester Credit Hours: 18 Semester Credit Hours: 18

4th Year

7th Semester 8th Semester
Code Course Title CH Pre-req Code Course Title CH Pre-req
CS-4110 Compiler Construction (Core) 3 Theory of Automata ARCH-5073 Professional Practices (Core) 3 Software Engineering
CS-3101 Design and Analysis of Algorithm (Core) 3 Fundamental of Programming
Data Structure
CS-10256 Forensic and Cyber Security (Core) 3 Computer Networks
CS-4243 Embedded Systems 3 Advance programming
operating system
CS-5253 Expert Systems 3 Introduction to AI, algorithms.
Proj-0006 Project 6 —–
Semester Credit Hours: 18 Semester Credit Hours: 12
Total Credit Hours:132

Eligibility Criteria

For all Bachelor Programs in Computer Sciences
  • Eligibility Criteria:
    • 50% marks or 2nd division in F.Sc./FA/I.Com./A level* or equivalent.

Assessment

  • A semester is a sixteen weeks of continuous studies.
  • As per HEC requirement, fifty minutes of class lecture or 100 minutes of supervised lab work done during sixteen weeks of a semester is called a credit hour.
  • Grade Point Average (GPA) is a number that indicates a student’s average grade.
GPA GRADE
GPA 4.0 A
GPA 3.0 B
GPA 2.0 C
GPA 1.0 D
  • Cumulative grade point average (CGPA) is the overall GPA earned by the student during the entire tenure of studies. Bachelors (Hons) students are required to obtain a CGPA of 2.0 to graduate.
  • The total number of 40 to 42 courses with a total of 132 credit hours are required to complete a 4-year Bachelor degree program. Additionally, 6 to 12 credit hours of project work is required.
  • Students have to repeat courses with lower GPA to reach a CGPA of 2.0.
  • There are two exams conducted during each semester: mid-term and final-term.
EXAM PERCENTAGE(%)
Mid-Term 20%
Final-Term 40%
Class Attendance 10%
Assignment,Quizzes 30%
  • No supplementary tests are conducted. Students failing in a subject are required to repeat the entire course.
  • Students found guilty of cheating are fined Rs. 10,000 and are required to repeat the course.
  • Student can freeze their semesters by submitting an application to the Director of Student Affairs. A maximum of three semesters can be frozen.
  • Students must report back within the given time failing which their admission will be cancelled.
  • The fee to freeze a semester is Rs. 2,500.
  • Fee deposited for a particular semester cannot be ‘carry-forward’ for another semester even if the student opts to use the freeze option.

Employment Scope

  • AI machine learning researcher
  • AI Software development, including program management and test
  • Data mining and analysis
  • Machine learning applications