EPOKA UNIVERSITY
FACULTY OF ARCHITECTURE AND ENGINEERING
DEPARTMENT OF COMPUTER ENGINEERING
COURSE SYLLABUS
COURSE INFORMATIONCourse Title: DIRECTED STUDY II |
| Code | Course Type | Regular Semester | Theory | Practice | Lab | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| CEN 828 | C | 99 | 3 | 2 | 0 | 4 | 7.5 |
| Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) | NA |
| Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | Arban Uka |
| Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | NA |
| Teaching Assistant(s) and Office Hours: | NA |
| Language: | English |
| Compulsory/Elective: | Elective |
| Classroom and Meeting Time: | |
| Course Description: | - |
| Course Objectives: | The objective of this course is to enable the students to conduct research of their interest under the supervision of their advisor. |
|
COURSE OUTLINE
|
| Week | Topics |
| 1 | Identifying challenges of Image Processing |
| 2 | Texture analysis of an image |
| 3 | Image segmentation algorithms |
| 4 | Multiview Geometry |
| 5 | Multiview Geometry II |
| 6 | Projective Geometry |
| 7 | Pattern Recognition |
| 8 | Iris Recognition |
| 9 | Face recognition |
| 10 | Use of Deep learning in Face Recognition |
| 11 | Use of Deep learning in Face Recognition II |
| 12 | Medical Imaging |
| 13 | Medical Imaging II |
| 14 | Object Tracking |
| Prerequisite(s): | |
| Textbook: | |
| Other References: | |
| Laboratory Work: | |
| Computer Usage: | |
| Others: | No |
|
COURSE LEARNING OUTCOMES
|
| 1 | Learning about the challenges of Image Processing |
| 2 | Learning about the challenges of Medical Imaging |
| 3 | Applying image segmentation and texture analysis in real examples |
| 4 | Understanding the use of deep learning in pattern recognition |
|
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution) |
| No | Program Competencies | Cont. |
| Doctorate (PhD) in Computer Engineering Program | ||
| 1 | Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. | 5 |
| 2 | Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations | 5 |
| 3 | Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. | 4 |
| 4 | Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. | 4 |
| 5 | Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. | 3 |
| 6 | Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. | 3 |
| 7 | The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. | 4 |
| 8 | Ability for effective oral and official communication skills in foreign language. | 2 |
| 9 | Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. | 2 |
| 10 | Engineering graduates with well-structured responsibilities in profession and ethics. | 3 |
| 11 | Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. | 4 |
| 12 | Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. | 4 |
|
COURSE EVALUATION METHOD
|
| Method | Quantity | Percentage |
| Homework |
4
|
5
|
| Project |
2
|
20
|
| Final Exam |
1
|
40
|
| Total Percent: | 100% |
|
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
|
| Activities | Quantity | Duration(Hours) | Total Workload(Hours) |
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 5 | 80 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 15 | 15 |
| Assignments | 3 | 12 | 36 |
| Final examination | 1 | 24.5 | 24.5 |
| Other | 0 | ||
|
Total Work Load:
|
187.5 | ||
|
Total Work Load/25(h):
|
7.5 | ||
|
ECTS Credit of the Course:
|
7.5 | ||