MATHEMATICAL SOFTWARE I

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
No	Program Learning Outcomes	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

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