BÄ°L691 - ACADEMIC SKILLS and PRACTICES
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| ACADEMIC SKILLS and PRACTICES | BÄ°L691 | Any Semester/Year | 0 | 2 | 1 | 2 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Case Study | |||||
| Instructor (s) | Department Responsible (bbm-bologna@cs.hacettepe.edu.tr) | |||||
| Course objective | The objective of this course is to introduce students to major concepts of a graduate study and the answers to the questions like ?How a graduate research should be performed?? and ?What are the important issues that the students should be aware during a graduate study?. The students will also learn the etchical issues that they should obey during their graduate studies, gradute thesis writing and writings of scientific articles | |||||
| Learning outcomes |
| |||||
| Course Content | ? Definitions: research, contribution, experimentation, literature, hypothesis, axioms, theorems, proofs ? Experimentation: methodology, verification, analyzing results, presentation results (charts, graphs, curves, etc.) ? Presentation: abstract, related work, proposing an idea, verification by experimentation/proofs, evaluating results, conclusions and thesis writing ? Seminar Presentation ? Conferences, symposiums, workshops ? Academic degrees: bachelor of science, master of science, doctorate of philosophy ? Ethical issues: plagiarism, slicing, duplication, sufficiency of contribution. | |||||
| References | ? Research methodology: a step-by-step guide for beginners, Ranjit Kumar, SAGE, 2005. ? Research Methodology: An Introduction, Wayne Goddard, Stuart Melville,, 2004 ? Bilimsel Araştırma Nasıl Yapılır, Kural Gülbahar, 1997. ? How To Write & Publish a Scientific Paper: 5th Edition, Robert A. Day, Oryx Press, 1998. ? The Craft of Scientific Writing, Michael Alley, Springer, 1996. Academic Ethics, Robin Barrow & Patrick Keeney, Ashgate, 2006. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Definitions: research, contribution, experimentation, literature, hypothesis, axioms, theorems, proofs |
| Week 2 | Experimentation: methodology, verification, analyzing results, presentation results (charts, graphs, curves, etc.) |
| Week 3 | Invited speaker |
| Week 4 | Presentation: abstract, related work, proposing an idea, verification by experimentation/proofs, evaluating results, conclusions and thesis writing |
| Week 5 | Invited speaker |
| Week 6 | Seminar Presentation |
| Week 7 | Invited speaker |
| Week 8 | Conferences, symposiums, workshops |
| Week 9 | Invited speaker |
| Week 10 | Academic degrees: bachelor of science, master of science, doctorate of philosophy |
| Week 11 | Invited speaker |
| Week 12 | Ethical issues: plagiarism, slicing, duplication, sufficiency of contribution |
| Week 13 | Invited speaker |
| Week 14 | Course roundup |
| Week 15 | Final Exam Preparation |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 14 | 20 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 3 | 30 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 17 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 2 | 28 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 0 | 0 | 0 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 3 | 5 | 15 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 15 | 15 |
| Total Workload | 18 | 22 | 58 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge. | X | ||||
| 2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency. | X | ||||
| 3. Graduates of a computer science program need to understand how theory and practice influence each other. | X | ||||
| 4. Graduates need to think at multiple levels of detail and abstraction. | X | ||||
| 5. Students will be able to think critically, creatively and identify problems in their research. | X | ||||
| 6. Graduates should have been involved in at least one substantial project. | X | ||||
| 7. Graduates should realize that the computing field advances at a rapid pace. | X | ||||
| 8. Graduates should conduct research in an ethical and responsible manner. | X | ||||
| 9. Graduates should have good command of technical terms in both Turkish and English. | X | ||||
| 10. Graduates should understand the full range of opportunities available in computing. | X | ||||
| 11. Graduates should understand that computing interacts with many different domains. | X | ||||
| 12. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest