BBZ107 Mathematics I

6 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Code BBZ107
Name Mathematics I
Semester 1. 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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜZİN YÜKSEL


Course Goal

The main objective of the course is to make the students form a mathematical background by instructing required information about relation,function, limit, continuity, derivative.

Course Content

Limit and continuity. Derivatives. Using derivatives to find extrema. Sketching graphs, taking limits with derivatives. Single variable integration. Integration techniques and applications of integration. Geometry in R^3. Vector-valued functions.

Course Precondition

None

Resources

1.Lecture notes. 2. Ayşe Peker Dobie, Matematik I Çözümlü Problemleri

Notes

Kenneth A. Ross, Elementary Analysis:The Theory of Calculus, Springer –Verlag(1980) . Calculus and Analytic Geometry, Sherman K. Stein, Anthony Barcellos.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learn some basic mathematical concepts and see examples of applications of these concepts.
LO02 Learn methods of computation and develop their skills of computation.
LO03 Get substantial experience to set up mathematical models for real- world problems from their area of interest and solve such problems.
LO04 Students who believe that mathematics is a scary subject change this attitude after they complete this course and they gain self-confidence.
LO05 Learn the preliminaries and build up their background for mathematical subjects that they will study in the following years.
LO06 Students are convinced by examples of real-world applications that mathematics is really useful.
LO07 Applies differentiation techniques and uses them in applied problems such as extreme value finding, curve drawing.
LO08 Comprehends and applies basic integral techniques.


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 5
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. 4
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Foster a mindset open to technological innovations. 3
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 5


Week Plan

Week Topic Preparation Methods
1 Preliminaries, Special functions (summary). Limit and continuity. Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
2 Derivatives Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
3 Chain Rule Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
4 Derivatives of inverse functions Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
5 Applications of derivative: Related rates, maxima /minima Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Applications of derivative: Maxima/minima (continued), sketching graphs Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Applications of derivative: L'Hopital's Rule. 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 Introduction to integrals, Proper integrals, the Fundamental Theorem of Calculus Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
10 Integration techniques: Substitution, trigonometric substitution Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Integration techniques: Integration by parts, partial fractions Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Improper integrals, areas and volumes Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Vectors in R^3, dot and cross products Review of the relevant pages from sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Derivatives and integrals of vector-valued functions Review of the relevant pages from sources Öğretim Yöntemleri:
Gösterip Yaptırma, Anlatım, Alıştırma ve Uygulama
15 General problem solving Review and problem solving Öğretim Yöntemleri:
Problem Çözme, Soru-Cevap, Tartışma
16 Term Exams Review and problem solving Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review and problem solving Ölçme Yöntemleri:
Yazılı Sınav


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 5 70
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) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS