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Course Code: 
MATH 201
Semester: 
Fall
Course Type: 
Core
P: 
3
Lab: 
0
Laboratuvar Saati: 
0
Credits: 
3
ECTS: 
6
Course Language: 
English
Course Objectives: 
To provide information about mathematical typesetting, symbolic computation and numerical computation software.
Course Content: 

Fundamentals of Latex, Maxima and Octave software.

Course Methodology: 
1: Lecture, 2: Problem Solving
Course Evaluation Methods: 
A: Written examination, B: Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes Teaching
Methods
Assessment
Methods
1) To learn using Latex software 1 A,B
2) To learn using Maxima software 1 A,B
3) To learn using Octave software 1 A,B
4) To learn using symbolic computation
software
1 A,B
5) To learn using numerical computation
software
1 A,B

 

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Basics; LATEX Input Files; Input File Structure; Command
 lines; The Layout of the Document; Document classes;
Packages
The Not So Short Introduction to LATEX2e, Chapter 1
2 Typesetting Text ; The Structure of Text and Language;
Line breaking and page breaking ; Justified Paragraphs ;
Hyphenation; Readymade Strings; Special Characters and
Symbols; International Language Support ; The Space
between Words; Titles, Chapters, and Sections; Cross
References; Footnotes; Emphasized Words; Environments;
Floating Bodies; Protecting fragile commands.
The Not So Short Introduction to LATEX2e, Chapter 2
3 Typesetting Mathematical Formulae; Grouping in Math
Mode; Building Blocks of a Mathematical Formula; Math
Spacing; Vertically Aligned Material; Phantom: Math Font
Size; Theorems, Laws; Bold symbols; List of Mathematical
Symbols.
The Not So Short Introduction to LATEX2e,

 Chapter 3

4 Including EPS Graphics; Bibliography; Indexing; Fancy
Headers; The Verbatim Package; Downloading and Installing Packages.
The Not So Short Introduction to LATEX2e, Chapter 4
5 Introduction, Available interfaces to Maxima, The Basics The Maxima Book, Chapters 1,2,3,
6 Trig through Calculus; Advanced Mathematics - ODEs and Beyond; Matrix Operations and Vectors The Maxima Book, Chapters 4,5,6
7 Introduction to Maxima’s Programming Language; The Maxima Book, Chapter 7
8 Graphics and Forms of Output The Maxima Book, Chapter 8
9 Additional Packages The Maxima Book, Chapters 13, 14, 15, 17
10 Getting started Introduction to GNU Octave, Chapter 1
11 Matrices and Linear Systems Introduction to GNU Octave, Chapter 2
12 Single variable calculus Introduction to GNU Octave, Chapter 3
13 Eigenvalue problems Introduction to GNU Octave, Chapter 5
14 Multivariable calculus and differential equations Introduction to GNU Octave, Chapter 6

 

Recommended Sources

RECOMMENDED SOURCES
Textbook The Not So Short Introduction to LATEX2e, Or LATEX2" in 95 minutes;  Tobias Oetiker, Hubert Partl, Irene Hyna and Elisabeth Schlegl; Version 3.20, 09 August, 2001

The Maxima Book; Paulo Ney de Souza, Richard J. Fateman, Joel Moses, Cliff Yapp,

Introduction to GNU Octave, A brief tutorial for linear algebra and calculus students; Jason Lachniet, Wytheville Community College, Third Edition

Additional Resources The LateX Companion, 2nd Edition, Frank Mittelbach and Michel Goossens

 

Material Sharing

MATERIAL SHARING
Documents  
Assignments  
Exams  

 

Assessment

IN-TERM STUDIES NUMBER PERCENTAGE
Mid-terms 2 70
Quizzes    
Assignments 3 30
Total   100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE   60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE   40
Total   100

 

COURSE CATEGORY Expertise/Field Courses

Course’s Contribution to Program

No Program Learning Outcomes Contribution
1 2 3 4 5
1 The ability to make computation on the basic topics of mathematics such as limit, derivative, integral, logic, linear algebra and discrete mathematics which provide a basis for the fundamenral research fields in mathematics (i.e., analysis, algebra, differential equations and geometry)   x      
2 Acquiring fundamental knowledge on fundamental research fields in mathematics         x
3 Ability form and interpret the relations between research topics in mathematics         x
4 Ability to define, formulate and solve mathematical problems         x
5 Consciousness of professional ethics and responsibilty     x    
6 Ability to communicate actively     x    
7 Ability of self-development in fields of interest       x  
8 Ability to learn, choose and use necessary information technologies     x    
9 Lifelong education     x    

ECTS

Activities Quantity Duration
(Hour)
Total
Workload
(Hour)
Course Duration (14x Total course hours) 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 3 42
Mid-terms (Including self study) 2 12 24
Quizzes - - -
Assignments 7 3 21
Final examination (Including self study) 1 21 21
Total Work Load     150
Total Work Load / 25 (h)     6
ECTS Credit of the Course     6