Course Information
SemesterCourse Unit CodeCourse Unit TitleL+PCreditNumber of ECTS Credits

Course Details
Language of Instruction English
Level of Course Unit First Cycle
Department / Program MATHEMATICS
Mode of Delivery Face to Face
Type of Course Unit Elective
Objectives of the Course To teach the TeX/LaTeX typesetting environment used for writing documents (articles, theses, presentations, etc.) containing complex mathematical expressions.
To teach Python/IPython’s sympy and numpy libraries to transfer and solve mathematical problems to the computer environment and, matplotlib library to plot functions.
To teach the Mathematica software system with built-in libraries to transfer and solve mathematical problems and to plot functions.
Course Content LaTeX environment, writing equations in LaTeX, inserting tables and figures to the documents, cross referencing in LaTeX, creating table of contents and bibliography in LaTeX, preparing presentations in LaTeX, Introduction of IPython interface and Python libraries (Sympy, numpy, etc.), fundamentals of mathematical operations in Python/IPython, calculus and linear algebra applications with Python/IPython, plotting with Python/IPython, Programming with Python/IPython, Mathematica interface and fundamentals of Mathematica, Calculus and Linear Algebra applications with Mathematica, Mathematica as a programming language, file operations and plotting in Mathematica.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Instructor Dr. Barış ÇİÇEK
Name of Lecturers Instructor Dr. Barış ÇİÇEK
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Matplotlib tutorial,
The Not So Short Introduction to LaTeX , by Tobias Oetiker, Hubert Partl, Irene Hyna and Elisabeth Schlegl (Version 5.04, October 29, 2014)
The Mathematica Book, Fifth Edition, by Stephen Wolfram, Wolfram Media, Inc., 2003, ISBN: 1579550223, 1488 pp
Sympy tutorial,
NumPy Manual,

Course Category

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Midterm exams 2 % 40
Quizzes 5 % 20
Homeworks 0 % 0
Other activities 0 % 0
Laboratory works 0 % 0
Projects 0 % 0
Final examination 1 % 40
% 100

ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Weekly Course Time 28 1 28
Outside Activities About Course (Attendance, Presentation, Midterm exam,Final exam, Quiz etc.) 5 3 15
Laboratory 28 1 28
Exams and Exam Preparations 8 15 120
Total Work Load   Number of ECTS Credits 6 191

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Solves mathematical problems using software tools
2 Learns the tools necessary to create documents containing complex mathematical expressions
3 Interpret the mathematıcal output of various software tools
4 Performs routine linear algebra and analysis computations with the assistance of software tools

Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 What is Latex? Latex editors. Structure of Latex. Sectioning and preparing abstract.
2 Equations and numbering. Inserting picture and table to document. Cross referencing. Writing and defining theorem, definition, etc.
3 Table of contents. Creating list of tables and figures pages. Preparing Bliography. Preparing presentation with Latex (Beamer).
4 Introducing the IPython interface and Python libraries (Sympy, numpy, etc.)
5 Fundamentals of mathematical operations with Python / IPython
6 Calculus with Python / IPython (functions, equations, limit, derivative, integral, sequences, series).
7 Linear algebra (vectors, matrices, systems of linear equations) with Python / IPython
8 Plotting with Python/IPython matplotlib library
9 Loops and control structures in Python / IPython. Applications of file operations to the mathematical problems.
10 Introducing the interface of Mathematica program, fundamentals of Mathematica, variables in Mathematica
11 Calculus with Mathematica (functions, equations, derivative, integral, series, series, limit)
12 Linear algebra with Mathematica (vectors, matrices, systems of linear equations)
13 Mathematica as a programming language: loops, logic and control structures
14 File operations and plotting with Mathematica
15 Final
16 Final

Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14
All 4
C1 3 2 3 3
C2 4 4 2
C3 3 2 3 3
C4 3 2 3 3

Contribution: 0: Null 1:Slight 2:Moderate 3:Significant 4:Very Significant