Mathematical Analysis II (MATH136) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Mathematical Analysis II MATH136 2. Semester 4 2 0 5 8.5
Pre-requisite Course(s)
MATH135
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The course is designed as a continuation of Math 135 Mathematical Analysis I and aims to give the students the computational skills in techniques of integration, convergence for Improper Integrals, sequences, infinite series and power series. It also gives the students the computational skills using integrals to solve applied problems such as finding area of a region, volume of a solid and length of a curve.
Course Learning Outcomes The students who succeeded in this course;
  • comprehend integration, know integration techniques, use them to solve area, volume and other problems,
  • comprehend improper integrals and determine the convergence of improper integrals,
  • determine convergence of sequences and functional sequences,
  • determine convergence of series, perform standard operations with convergent power series,
  • find Taylor and Maclaurin representations of a function and applications.
Course Content Riemann integral, the fundamental theorem of calculus, integration techniques, applications of integrals: area, volume, arc length, improper integrals, sequences, infinite series, tests for convergence, functional sequences and series, interval of convergence, power series, Taylor series and its applications.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Upper-Lower Sums, Riemann Integral, pp. 299-317
2 Properties of Definite Integral, Indefinite Integral , Fundamental Theorem, Substitution For Indefinite Integral and Definite Integral pp. 317-338
3 Area Under A Curve, Area Between The Curves, pp. 338-344
4 Techniques of Integration (Substitution, Integration By Parts, Trigonometric Integrals). pp. 345-352
5 Techniques of Integration (Trigonometric Substitutions, The Method of Partial Fractions, Tan(X/2) Sunstitution). Right Hand Point, Left Hand Point, Mid Point, Trapezoid Approximation For Definite Integral pp. 352-368, pp. 382-394
6 Volumes, Disk Method, Cylindrical Shells Method, Arclength and Surface Area of Revolution pp. 406-428
7 Midterm
8 Parametric Curves, Arclength of A Parametric Curve, Sequences, Bounded Sequences pp. 488-504
9 İncreasing and Decreasing Sequences. Limit of A Sequence. Monotone Sequence. pp. 518-526
10 Improper Integrals. Comparison Test. Limit Comparison Test, pp. 373-378
11 Absolute Convergence, Conditional Convergence. pp. 378-381
12 Series, Integral Test, Comparison Test, Limit Comparison Test. pp. 526-541
13 Ratio and Root Tests, Absolute Convergence, Alternating Series Test pp. 542-548
14 Approximation and Error In Approximation. The Alternating Series, Power Series, Differentiation and Integration of Power Series pp. 549-564
15 Taylor’s and Maclaurin Series with applications pp. 564-578
16 Final Examination

Sources

Course Book 1. A complete Course, R. A. Adams, 4th Edition; Addison Wesley
Other Sources 2. Thomas' Calculus, Early Transcendentals, 11th Edition; 2003 Revised by R. L. Finney, M. D. Weir, and F. R. Giardano; Addison Wesley
3. Calculus with Analytic Geometry, C. H. Edwards; Prentice Hall Calculus with Analytic Geometry, R. A. Silverman; Prentice Hall

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application 16 2 32
Special Course Internship
Field Work
Study Hours Out of Class 14 4 56
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 5 25
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 148