MATH102 Calculus II


MATH102 Calculus II

Syllabus   |  International University of Sarajevo  -  Last Update on Feb 02, 2026

Referencing Curricula

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Faculty of Engineering and Natural Sciences

Academic Year
2025 - 2026
Semester
Spring
Course Code
MATH102
Weekly Hours
3 Teaching + 2 Practice
ECTS
6
Prerequisites
Teaching Mode Delivery
Face-to-face
Prerequisite For
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Hülya Gür

Course Lecturer

Position
Full Professor Dr.
Phone
033 957 338
Assistant(s)
Student Demonstrators
Assistant E-mail

Course Objectives

The course aims to study volumes of rotation, integration techniques, partial derivatives and local extrema of two variable functions, double integrals, infinite sequences and series, convergence test for series, absolute and conditional convergence, and Taylor polynomials and power series.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Infinite Sequences and Series
2
Compute vector-valued functions and motion in space
3
Use partial derivatives
4
Perform multiple integrals
5
Model integration in vector fields

Course Materials

Required Textbook

Main Text Book: University Calculus, Early Transcendentals (Pearson)

Additional Literature
Thomas Calculus 12th edition

Teaching Methods

Class lectures with lots of examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Homework with more challenging or theoretical assignments
Grading: In mathematics, the process how the result was derived is critical
It requires to be clear how you get to the result, and the process is what is graded
Course Policies: The following are the policies for this course: 1
Come to every lecture with a writing instrument and a notebook or paper
2
No mobile phone use, including text messaging or checking text message
Please turn your mobile off or keep it on silent
3
Laptops and other electronic devices are not allowed unless you have the instructor permission to use them for taking notes
4
English is to be the language of the classroom
5
All electronic communication in the course will be implemented through the university email or Teams
I will respond to your emails within 24-48 hours
If you have not received a reply within that time limit, please resend it
7
Be sure to pay close attention to deadlines
There will be no make up assignments or quizzes, or late work accepted without a serious and compelling reason and instructor approval
Attendance Policy 1
A minimum 70 percent class attendance in lectures and 80 percent attendance in other course components like tutorials, workshops, lab hours, and application classes are mandatory, regardless of reason for absence (medical or any other)
[Article 16, item 1]
2
Students who do not fulfill attendance requirements may be barred from taking the midterm and final examinations
[Article 16, item 2]
3
Exchange students are required to have at least 50 percent attendance in all course activities, regardless of reason for absence (medical or any other)
[Article 16, item 3]
4
A student who is barred to take examination due to absenteeism, will receive mark “N/A” for that course
[Article 16, item 4]
5
If a student misses one third or more of a class session, the student will be counted absent
Three tardies will count as one absence
Leaving early is the same as being tardy
6
If a student misses a class, it is THEIR responsibility to make up the material missed

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Techniques of Antidifferentiation: Substitution, Exponential and logarithmic functions (Pearson) Chapter 8
2 Inverse trigonometric functions Chapter 8
3 Integration by parts Chapter 8
4 Trigonometric substitution, Partial fraction decomposition Chapter 8
5 Sequences and Series: Sequences Chapter 9
6 Sequences and Series: Infinite series Chapter 9
7 Sequences and Series: The divergence and Integral test Chapter 9
8 Midterm Chapter 9
9 Comaparison tests, ratio and root test Chapter 9
10 Alternating series, absolute and conditional convergence Chapter 9
11 Sequences and Series: Power series and Taylor series Chapter 10
12 Functions of several variables Chapter 13
13 Partial derivatives, second derivative test Chapter 13
14 Double integrals Chapter 13
15 Review Chapter 13

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
MATH102.1 Course Tuesday 12:00 - 14:50 A F2.14 - Amphitheater II - -
MATH102.2 Course Monday 09:00 - 11:50 A F1.24 - Amphitheater I - -
MATH102.1 Tutorial Thursday 09:00 - 10:50 B F2.17 - -
MATH102.2 Tutorial Wednesday 18:00 - 19:50 A F1.11 - -
MATH102.3 Tutorial Wednesday 15:00 - 16:50 B F2.6 - -
MATH102.4 Tutorial Wednesday 09:00 - 10:50 A F1.26 - -
MATH102.5 Tutorial Wednesday 15:00 - 16:50 A F1.17 - -

Office Hours & Room

DayTimeOfficeNotes
Monday 12:00 - 14:50 A F2.20
Wednesday 12:00 - 14:50 A F2.20

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes : 

30%x1
Midterm exam
AI: Not Allowed

Alignment with Learning Outcomes : 

30%x3
Quizzes and Homework
AI: Not Allowed

Alignment 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 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture Hours

42 hours ⏳ (14 week × 3 h)

Active Tutorials

28 hours ⏳ (14 week × 2 h)

Home Study

42 hours ⏳ (14 week × 3 h)

Midterm Exam Study

12 hours ⏳ (1 week × 12 h)

Final Exam Study

16 hours ⏳ (1 week × 16 h)

6 hours ⏳ ( week × h)

4 hours ⏳ ( week × 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 [MATH102] 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.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

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.

Think Critically in Assignments

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.

Ask Questions Early

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

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