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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MAT 2042 COMPUTER ALGEBRA SYSTEMS COMPULSORY 2 2 0 5

Offered By

Mathematics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR VOLKAN ÖĞER

Offered to

Mathematics (Evening) Mathematics

Course Objective

This course aims to give information about necessary tools which using search knowledge on internet, doing mathematics by computer and writing results as a report.

Learning Outcomes of the Course Unit

1   will be able search online literature. 2   will be able write mathematical knowledge on a digital platform via LaTeX. 3   will be able use basic commands and structures of Python programming language. 4   will be able use basic commands and structures of Mathematica software. 5   will be able define and solve mathematical problems with one of the softwares introduced.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 What is Latex Latex editors, structure of Latex, sectioning, abstract, text mode and math mode. 2 Equation numbering, insert picture, table, cross referencing, teorem, definition, etc writing. 3 Table of contents, bibliography (bibtex), appendices, indexing. presentation with Latex (beamer). 4 Introducing front end of Mathematica, help of Mathematica, structure of Mathematica, variables. 5 Calculus in Mathematica (functions, equations, derivative, integral, sequences, series, limit). 6 Linear algebra in Mathematica (vectors, matrices, systems of linear equations), graphics (2D-3D). 7 Mathematica as a programming language: loop structures, control structures. 8 midterm 9 Modules, file operations, animations. 10 Structure of Python programming language, variables. 11 Calculus in Python programming language (functions, equations, derivative, integral, sequences, series, limit). 12 Linear algebra in Python programming language (vectors, matrices, systems of linear equations), Graphics(2D-3D). 13 Loop structures, control structures on Python programming language. 14 Procedures, file operations.

Recomended or Required Reading

Textbook(s): 1. The Latex Companion - Frank Mittelbach, Michel Goossens,..-2nd ed.,2004 2. Maple and Mathematica: A problem solving approach for mathematics - Shingareva, Inna K., Lizárraga-Celaya, Carlos-2nd ed., 2009,

Planned Learning Activities and Teaching Methods

Lecture notes, presentation and laboratory

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.35 + ASG * 0.30 + FIN * 0.35 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.35 + ASG * 0.30 + RST * 0.35 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

volkan.oger@deu.edu.tr office: B251-3

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Tutorials 13 2 26 Lectures 13 2 26 Preparing assignments 12 3 36 Preparation for final exam 1 10 10 Preparing Individual Assignments 1 25 25 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 127

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 4 3 LO.2 3 5 LO.3 5 LO.4 5 LO.5 5