COURSE DESCRIPTION

NAME OF INSTITUTION Lahore Garrison University
PROGRAM (S) TO BE EVALUATED Computer Science , Spring 2022
Course Description :
Course Code CSC363
Course Title Artificial Intelligence
Credit Hours 3+1
Prerequisites by Course(s) and Topics
Assessment Instruments with Weights (homework, quizzes, midterms, final, programming assignments, lab work, etc.) SESSIONAL (Quizzes, Assignments, Presentations) =25 %
Midterm Exam =25 %
Final Exam = 50%
Course Coordinator Arfa Hassan
URL (if any)
Current Catalog Description
Textbook (or Laboratory Manual for Laboratory Courses)
Reference Material
Course Goals
Course Learning Outcomes (CLOs):
At the end of the course the students will be able to:DomainBT Level*
* BT= Bloom’s Taxonomy, C=Cognitive domain, P=Psychomotor domain, A= Affective domain
Topics Covered in the Course, with Number of Lectures on Each Topic (assume 15-week instruction and one-hour lectures)
WeekLectureTopics Covered
Week 1 1 introduction to AI
2 AI Tools and Techniques
Week 2 3 Introduction to matlab
4 Datasets in AI
Week 3 5 Data preprocessing
6 Feature Extraction
Week 4 7 Pattern Recognition Neural Network
8 Model Testing
Week 5 9 classifier learner
10 introduction to fuzzy logic
Week 6 11 Type I Fuzzy
12 Type II fuzzy
Week 7 13 Neuro fuzzy
14 Genetic Algorithm
Week 8 1 hours Mid Term
Week 9 15 python zero I
16 Python zero II
Week 10 17 File Handling with Python
18 Uninformed Search
Week 11 19 informed Search
20 CSV, os , pandas , matplotlib
Week 12 21 Kearas, Sklearn
22 Tensor flow , open cv
Week 13 23 EDA part I
24 EDA part II
Week 14 25 Machine Learning part I
26 Machine Learning part II
Week 15 27 Introduction to Deep Learning
28 Deep Learning part I
Week 16 29 Yolo , Darknet
30 Front end Design of AI Base Project I
Week 17 2 hours Final Term
Laboratory Projects/Experiments Done in the Course
Programming Assignments Done in the Course
Instructor Name Arfa Hassan
Instructor Signature
Date