Spring Courses ( July-December Session )
CSE 903C TH-Image Processing
Wednesday 10:00 AM - 12:00 PM & 2:00 PM -4:00 PM
Course Outcomes
- Understand the basic theory and algorithms/ techniques that are widely used in digital image processing.
- Understand image analysis algorithms.
- Understand current applications of Image Processing.
- Develop hands-on experience in using computers to process images.
Syllabus
Lesson Plan
CSE 901C TH-Design and Analysis of Algorithm
Thursday 12:00 PM - 1:00 PM & Friday 11:00 AM - 1:00 PM & Wednesday 4:00 PM - 5:00 PM
Course Outcomes
- Understand different complexity measures to analyze the complexity/performance of different algorithms.
- Understand advanced techniques such as greedy algorithms, dynamic programming and know the concepts of tractable and intractable problems and the classes P, NP and NP-complete problems.
- Understand and conduct mathematical proofs for computation and algorithms.
Syllabus
Lesson Plan
CSE 905C PR-Image Processing Lab
Monday & Friday 2:00 PM - 5:00 PM
Course Outcomes
- Develop hands-on experience in using computers to process images and solve various real world problems.
- Develop skills using programming languages for realization and implementation of image processing problems.
Syllabus
Winter Courses ( January-June Session )
CSE 1001E1 TH- Pattern Recognition
Monday & Wednesday 12:00 PM - 1:00 PM Friday 12:00 PM - 1:00 PM & 2:00 PM - 3:00 PM
Course Outcomes
- Understand the basics and fundamentals of statistical techniques commonly used in pattern recognition problem.
- Understand the concepts of machine learning and deep learning techniques and various real world problems that can be handled by learning algorithms/ techniques.
- Compare and contrast different pattern recognition algorithms.
- Apply the concepts of machine learning and deep learning algorithms in real life problems.
- Understand the concepts of decision making and modelling as a problem solving approach.
Syllabus
Lesson Plan
CSE 1002C TH-Theory of Computation
Wednesday 10:00 AM - 12:00 PM & 2:00 PM -4:00 PM
Course Outcomes
- Understand the requirements and applications of each phase of compiler and various compilation techniques needed to obtain high performance on modern computer architectures.
- Understand different optimization techniques and difference between them.
- Understand formal language theory and its application to computer science.
- Apply mathematical preliminaries to develop the basic components of language design.
- Design simple computational machines using the concepts of language theory Correlate computability with formal computational machines.
Syllabus
Lesson Plan
CSE 1204 E3-Advanced Imaging Techniques
Thursday 12:00 PM - 1:00 PM & Friday 11:00 AM - 1:00 PM & Wednesday 4:00 PM - 5:00 PM
CSE 1005C PR-Term Paper Leading to Thesis
Monday,Wednesday & Friday 3:00 PM - 5:00 PM
Course Outcomes
- Understand the various advanced topics in computer science and engineering for real-world applications.
- Synthesize and integrate material from primary and secondary sources with their own ideas in research papers.
CSE 1006C PR-Design Project
Tuesday & Thursday 2:00 PM - 5:00 PM
Course Outcomes
- Solve certain real world practical problems in the domain of computer science and engineering and other interdisciplinary research areas.