ADVANCED INFORMATION SYSTEM DESIGN
- Course
- CMPE550 - ADVANCED INFORMATION SYSTEM DESIGN
- Department
- Computer Engineering - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
ADVANCED INFORMATION SYSTEM DESIGN
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Artificial Intelligence, Artificial Neural Networks and Deep Learning |
| Week 2 | Image Formation, Biological Neuron, Artificial Neural Networks |
| Week 3 | Artificial Neural Networks - Single Perceptron, Multi-layer ANNs, backprobagation |
| Week 4 | Convolutional Neural Networks - building blocks |
| Week 5 | Convolutional Neural Networks - applications and Phyton Coding using Tensorflow Keras |
| Week 6 | Long-Short-Term Memory Networks (LSTM) - building blocks and applications |
| Week 7 | LSTM - applications and Phyton Coding using Tensorflow Keras |
| Week 8 | Autoencoders - building blocks and applications |
| Week 9 | Transformer Networks for Natural Language |
| Week 10 | Vision Transformers for Image Recognition |
| Week 11 | Convolutional Vision Transformers |
| Week 12 | Training a Deep Learning Model - in Phyton Tensorflow Keras |
| Week 13 | Hyperparameter Analysis - optimizers, learning rate, batch size, etc. |
| Week 14 | Revision of Concepts |
| Week 15 | Finals |
Reference Books & Course Materials
- 01 Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning, MIT Press, 2016. https://www.deeplearningbook.org/
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
No program outcomes have been defined.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.