MATH100 Mathematical Skills
MATH100 Mathematical Skills
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
Syllabus Quick Jump
Search and navigate to any syllabus instantly
Faculty of Engineering and Natural Sciences
Leila Miller
Course Lecturer
Course Objectives
MATH 100 is an entry level university course. It aims to prepare students in Economics/Management/IBF for their Calculus course while it provides basic analytical and computational skills for students in social sciences related programs. N.B.This course is a prerequisite to MATH101 only for Management, Economics, and IBF students.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Precalculus, Third edition, Fred Safier. Schaum's Online Series, Mc Graw Hill
Additional Literature
Precalculus, Third edition, Fred Safier. Schaum's Online Series, Mc Graw HillTeaching Methods
The methods include lecturing and tutorials.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to the Course | |
| 2 | Exponents, Polynomials, Factoring | |
| 3 | Rational and Radical Expressions, Simplification | |
| 4 | Linear and Nonlinear Equations | |
| 5 | Linear and Nonlinear Equations | |
| 6 | Linear and Nonlinear Inequalities | |
| 7 | MIDTERM-Linear Functions and Graphs | |
| 8 | Functions | |
| 9 | Quadratic functions | |
| 10 | Exponential and Logaritmic Functions | |
| 11 | Exponential and Logarithmic Equations | |
| 12 | Quadratic Functions and Parabolas | |
| 13 | Trigonometric identities and equations and trigonometric Functions | |
| 14 | Equation of a Circle | |
| 15 | Review, Preparation for the Final Exam |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| MATH100.1 | Tutorial | Thursday 13:00 - 14:50 | B F2.16 | - | - |
| MATH100.2 | Tutorial | Wednesday 15:00 - 16:50 | A F2.13 | - | - |
| MATH100.1 | Course | Monday 12:00 - 14:50 | A F1.26 | - | - |
| MATH100.2 | Course | Monday 09:00 - 11:50 | B F2.17 | - | - |
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5 6
Mid-term Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Assignments
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5 6
Quizzes
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
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 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture Hours
45 hours ⏳ (15 week × 3 h)
Quizzes Study
10 hours ⏳ (2 week × 5 h)
Home Study
60 hours ⏳ (15 week × 4 h)
Midterm Exam Study
11 hours ⏳ (1 week × 11 h)
Final Exam Study
24 hours ⏳ (2 week × 12 h)
150 Total Workload Hours
6 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 [MATH100] 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 Feb 02, 2026 | International University of Sarajevo
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| MATH100 | Mathematical Skills | 3 | 2 | 6 | ||||||
| Prerequisite | None | It is a prerequisite to | ECON211, ECON261, IBF102, IBF208, IBF210, IBF231, MAN231 | |||||||
| Lecturer | Leila Miller | Office Hours / Room / Phone | Monday: 12:00-14:00 Tuesday: 11:00-12:00 Wednesday: 13:00-14:00 Thursday: 10:00-11:00 |
|||||||
| lmiller@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | MATH 100 is an entry level university course. It aims to prepare students in Economics/Management/IBF for their Calculus course while it provides basic analytical and computational skills for students in social sciences related programs. N.B.This course is a prerequisite to MATH101 only for Management, Economics, and IBF students. | |||||||||
| Textbook | Precalculus, Third edition, Fred Safier. Schaum's Online Series, Mc Graw Hill | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | The methods include lecturing and tutorials. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to the Course | |||||||||
| Week 2 | Exponents, Polynomials, Factoring | |||||||||
| Week 3 | Rational and Radical Expressions, Simplification | |||||||||
| Week 4 | Linear and Nonlinear Equations | |||||||||
| Week 5 | Linear and Nonlinear Equations | |||||||||
| Week 6 | Linear and Nonlinear Inequalities | |||||||||
| Week 7 | MIDTERM-Linear Functions and Graphs | |||||||||
| Week 8 | Functions | |||||||||
| Week 9 | Quadratic functions | |||||||||
| Week 10 | Exponential and Logaritmic Functions | |||||||||
| Week 11 | Exponential and Logarithmic Equations | |||||||||
| Week 12 | Quadratic Functions and Parabolas | |||||||||
| Week 13 | Trigonometric identities and equations and trigonometric Functions | |||||||||
| Week 14 | Equation of a Circle | |||||||||
| Week 15 | Review, Preparation for the Final Exam | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1-6 | Not Allowed | |
| Semester Evaluation Components | |||||
| Mid-term Exam | 1 | 30 | 1-4 | Not Allowed | |
| Assignments | 1 | 10 | 1-6 | Not Allowed | |
| Quizzes | 2 | 20 | 1-5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Quizzes Study | 5 | 2 | 10 | |||
| Home Study | 4 | 15 | 60 | Midterm Exam Study | 11 | 1 | 11 | |||
| Final Exam Study | 12 | 2 | 24 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 17/02/2026 | |||||||||