Course Details

Course Code: IT9202
Course Title: Deep Learning
Short Title:  
Course Level:: Level 9
Valid From:: 2023/2024 Sem 2
Credits:: 15
Owner: School of ICT
Assessment Method: Achievement
Course Aim

Provide students with a comprehensive understanding of deep learning concepts and techniques, as well as practical skills for implementing and evaluating deep learning models on real-world problems.

 
CILO
On Completion of this course, the learner will be able to
# Learning Outcome Description
1 Develop a deep understanding of specialized concepts and techniques of deep learning including neural network architectures and algorithms.
2 Acquire and apply practical skills in using deep learning frameworks to develop and train neural network models.
3 Analyze and evaluate the performance of deep learning models on various datasets and tasks.
4 Explore advanced topics in deep learning and apply these techniques to solve real-world problems.
Requisites
  • Pre Requisite: IT9101 Mathematical Foundations and Quantitative Analysis
 
Examinations
Assessment Type
Examination (Practical)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type
Lab Assignment
Assessment Type
Project (Individual)

The institute reserves the right to alter the nature and timings of assessment

Affiliated Entities
Entity Code Entity Title Entity Version Entity Type
ICT1099 Doctorate of Philosophy in Computer Science 1 Programme
ICT9010 Master of Science in Artificial Intelligence 1 Programme
ICT9099 Master of Science by Research in Computer Science 1 Programme