Mathematical Foundations and Quantitative Analysis
Short Title:
Course Level::
Level 9
Valid From::
2023/2024 Sem 2
Credits::
15
Owner:
School of ICT
Assessment Method:
Achievement
Course Aim
This course develops the theoretical aspects of the mathematical and Quantitative Analysis techniques, methods, and software tools (Python Language) required for the student to study the Artificial Intelligence courses. Topics included in this course are Statistics, Probability (conditional Probability, and Probability Distribution), Vector Calculus. Partial Differential Equation, Optimization, Linear Algebra.
CILO
On Completion of this course, the learner will be able to
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Learning Outcome Description
1
Demonstrate critical knowledge and understanding of: Mathematical and Quantitative Analysis techniques and methods that are required for studying AI related courses.
2
Use professional level skills to Implement Python programmes to solve mathematical and Quantitative analysis problems.
3
Perform Mathematical and Quantitative analysis to critically analyze and problems interpret the results of the analyses.
Requisites
No requisites
Examinations
Assessment Type Examination (Unseen)
Assessment Type Examination (Practical)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type Lab Assignment
The institute reserves the right to alter the nature and timings of assessment
