BBZ108 Mathematics II

6 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
COMPUTER SCIENCES PR.
Code BBZ108
Name Mathematics II
Term 2026-2027 Academic Year
Semester 2. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label BS Basic Science Courses C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜZİN YÜKSEL
Course Instructor
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
Doç. Dr. Ayşe Gül KAPLAN (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to provide students with detailed information about integration and its applications, in order to lay the foundation for future knowledge and to develop analytical thinking skills.

Course Content

This course covers integrals, applications of integrals, derivatives by parts, finding extreme values ​​in multivariable functions, and fundamental differential equation concepts.

Course Precondition

None

Resources

Adam's Calculus

Notes

Lecture notes.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 He/She calculates indefinite integrals.
LO02 Calculates definite integrals.
LO03 He/She solves applications of integration.
LO04 He/She defines multivariate functions.
LO05 Calculates partial derivatives.
LO06 He/She defines differential equations.
LO07 He/She classifies differential equations.
LO08 He/She solves differential equations.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gain comprehensive knowledge of fundamental concepts, algorithms, and data structures in Computer Science.
PLO02 Bilgi - Kuramsal, Olgusal Learn essential computer topics such as software development, programming languages, and database management
PLO03 Bilgi - Kuramsal, Olgusal Understand advanced computer fields like data science, artificial intelligence, and machine learning.
PLO04 Bilgi - Kuramsal, Olgusal Acquire knowledge of topics like computer networks, cybersecurity, and database design.
PLO05 Beceriler - Bilişsel, Uygulamalı Develop skills in designing, implementing, and analyzing algorithms 4
PLO06 Beceriler - Bilişsel, Uygulamalı Gain proficiency in using various programming languages effectively
PLO07 Beceriler - Bilişsel, Uygulamalı Learn skills in data analysis, database management, and processing large datasets.
PLO08 Beceriler - Bilişsel, Uygulamalı Acquire practical experience through working on software development projects.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Strengthen teamwork and communication skills. 3
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Foster a mindset open to technological innovations. 4
PLO11 Yetkinlikler - Öğrenme Yetkinliği Encourage the capacity for continuous learning and self-improvement. 4
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Enhance the ability to solve complex problems 4


Week Plan

Week Topic Preparation Methods
1 Indefinite Integral Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
2 Variable Substitution Method Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
3 Partial Integration Method Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
4 Method of Decomposing into Simple Fractions Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Trigonometric integrals and integrals of radical expressions. Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Definite Integral, Riemann Sum Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Specific Integral Applications, Area Calculation Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Mid-Term Exam Review and problem Solving Ölçme Yöntemleri:
Yazılı Sınav
9 Volume Calculation Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
10 Arc Length and Area of ​​Surfaces of Revolution Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
11 Improper Integrals Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
12 58 Limit, continuity, and partial derivatives in multivariable functions. Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
13 Higher Order Derivatives, Chain Rule, Maximum and Minimum Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
14 Differential equations and their classification. Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Solutions to Differential Equations Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
16 Term Exams Review and problem Solving Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review and problem Solving Ölçme Yöntemleri:
Yazılı Sınav


Assessment (Exam) Methods and Criteria

Current term shares have not yet been determined. Shares of the previous term are shown.
Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 143
Total Workload / 25 (h) 5,72
ECTS 6 ECTS

Update Time: 06.05.2026 10:21