CS100 Computer Skills
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Computer Sciences and Engineering
Zeynep Sağır
Course Lecturer
Course Objectives
In this course will be introduced the new interface and features of Word, Excel and PowerPoint in Microsoft Office 2007 and will be worked with files from all three applications to explore enhancements to the Office system. At the end of this course students will be capable of using the basic programs from the Microsoft Office package.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Microsoft Office 2013/365 and Beyond: Computer Concepts and Applications (Computer Science) by Theodor Richardson, Charles Thies
Additional Literature
Various online and multimedia resources will be presented in class on a weekly basisTeaching Methods
Lectures
Interaction in class
Practical work
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Course Introduction | |
| 2 | Introduction to the course, MS Word (Word Basics) | hands on |
| 3 | MS Word (Long Documents) | hands on |
| 4 | MS Word (Special Features) | hands on |
| 5 | MS Word (Advanced Word) | hands on |
| 6 | Case Study 1 | hands on |
| 7 | MS Excel (Basic Calculations) | hands on |
| 8 | MS Excel (Formatting Worksheets) | hands on |
| 9 | MS Excel (Manipulating Data) | hands on |
| 10 | MS Excel (Advanced Calculations, Making Data Visible) | hands on |
| 11 | Case Study 2 | hands on |
| 12 | MS PowerPoint (Creating a Presentation) | hands on |
| 13 | MS PowerPoint (Customizing Presentation) | hands on |
| 14 | MS PowerPoint (Working with Animation, Preparing Live Presentations) | hands on |
| 15 | Case Study 3 | hands on |
Course Schedule (All Sections)
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Monday | 10:00 - 12:00 | A F2.24 | |
| Tuesday | 10:00 - 12:00 | A F2.24 | |
| Thursday | 14:00 - 15:00 | A F2.24 |
Assessment Methods and Criteria
Assessment Components
Case study 1
AI: Not AllowedAlignment with Learning Outcomes :
Case study 2
AI: Not AllowedAlignment with Learning Outcomes :
Case study 3
AI: Not AllowedAlignment with Learning Outcomes :
Assignments
AI: Not AllowedAlignment with Learning Outcomes :
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 3 ECTS credit course corresponds to 75 hours of total student workload, distributed as follows:
Lecture Hours
30 hours ⏳ (15 week × 2 h)
Case Study 1
9 hours ⏳ (1 week × 9 h)
Case Study 2
11 hours ⏳ (1 week × 11 h)
Case Study 3
9 hours ⏳ (1 week × 9 h)
assignments
16 hours ⏳ (8 week × 2 h)
75 Total Workload Hours
3 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [CS100] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| CS100 | Computer Skills | 0 | 2 | 3 | Tuesday 14:00 - 15:50 | |||||
| Prerequisite | None | It is a prerequisite to | - | |||||||
| Lecturer | Zeynep Sağır | Office Hours / Room / Phone | Monday: 10:00-12:00 Tuesday: 10:00-12:00 Thursday: 14:00-15:00 |
|||||||
| zsagir@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | In this course will be introduced the new interface and features of Word, Excel and PowerPoint in Microsoft Office 2007 and will be worked with files from all three applications to explore enhancements to the Office system. At the end of this course students will be capable of using the basic programs from the Microsoft Office package. | |||||||||
| Textbook | Microsoft Office 2013/365 and Beyond: Computer Concepts and Applications (Computer Science) by Theodor Richardson, Charles Thies | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Lectures, interaction in class, practical work | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Course Introduction | |||||||||
| Week 2 | Introduction to the course, MS Word (Word Basics) | hands on | ||||||||
| Week 3 | MS Word (Long Documents) | hands on | ||||||||
| Week 4 | MS Word (Special Features) | hands on | ||||||||
| Week 5 | MS Word (Advanced Word) | hands on | ||||||||
| Week 6 | Case Study 1 | hands on | ||||||||
| Week 7 | MS Excel (Basic Calculations) | hands on | ||||||||
| Week 8 | MS Excel (Formatting Worksheets) | hands on | ||||||||
| Week 9 | MS Excel (Manipulating Data) | hands on | ||||||||
| Week 10 | MS Excel (Advanced Calculations, Making Data Visible) | hands on | ||||||||
| Week 11 | Case Study 2 | hands on | ||||||||
| Week 12 | MS PowerPoint (Creating a Presentation) | hands on | ||||||||
| Week 13 | MS PowerPoint (Customizing Presentation) | hands on | ||||||||
| Week 14 | MS PowerPoint (Working with Animation, Preparing Live Presentations) | hands on | ||||||||
| Week 15 | Case Study 3 | hands on | ||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Semester Evaluation Components | |||||
| Semester Evaluation Components | |||||
| Case study 1 | 1 | 30 | Not Allowed | ||
| Case study 2 | 1 | 30 | Not Allowed | ||
| Case study 3 | 1 | 25 | Not Allowed | ||
| Assignments | 15 | Not Allowed | |||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 2 | 15 | 30 | Case Study 1 | 9 | 1 | 9 | |||
| Case Study 2 | 11 | 1 | 11 | Case Study 3 | 9 | 1 | 9 | |||
| assignments | 2 | 8 | 16 | |||||||
| Total Workload Hours = | 75 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 3 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||