COURSE UNIT TITLE

: CALCULUS II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MAT 1010 CALCULUS II COMPULSORY 4 0 0 4

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ŞERIFE FAYDAOĞLU

Offered to

Geophysical Engineering
Mechanical Engineering (Evening)
Textile Engineering
Mechanical Engineering
Civil Engineering
Environmental Engineering
Mining Engineering
Geological Engineering
Metallurgical and Materials Engineering
Civil Engineering (Evening)
Industrial Engineering
Geological Engineering (Evening)
Mining Engineering (Evening)

Course Objective

To understand the issues related to Analytic Geometry and Analysis, to provide the practice of this in an effective way in the professional areas. It also aims to show the importance and purpose of mathematics is by the acquisition of analytical mindset.

Learning Outcomes of the Course Unit

1   Recognizing the coordinate systems and the conic sections; be able to express in the different coordinates conic sections
2   Be able to understand the equations of line and plane in two-and three-dimensional space
3   Be able to understand the multivariate functions and its features
4   Be able to comprehend the limits, continuity and derivative in the multivariate functions, to apply to engineering problems.
5   Be able to define multiple integrals over plane and solid regions; being able to use in applications in relation to the concepts of area, volume, mass and energy

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The coordinate systems; Cartesian, Polar, Cylindrical and Spherical coordinates
2 Conic Sections Quadratic Equations and Rotations
3 Vectors and Analytic geometry in space Lines, Planes and Quadratic surfaces
4 Multivariable Functions Functions of several variables Limits and continuity
5 Partial Derivatives Differentiability, Linearization and Differential Higher-order Derivatives The Chain Rule Implicit Differentiation Midterm Exam 1 (26.03.2012)
6 Applications of Partial Derivatives Directional derivatives, Gradients Vectors and Tangent Planes
7 1.st Midterm Exam
8 Extreme Values and Saddle Points Extreme alues of functions defined on restricted domains
9 Lagrange Multipliers Taylor Series
10 Multiple Integrals Double Integrals in Cartesian and Polar Coordinates and Their Applications Midterm Exam 2 (08.05.2012)
11 Triple Integrals in Cylindrical and Spherical Coordinates and Their Applications
12 Vector Functions, Vector and Scalar Fields Line integrals Conservative Fields
13 Surface integrals Green s Theorem, Divergence theorem, and Stokes s Theorem Final Exam (28.05.2012)
14 2.nd Midterm Exam

Recomended or Required Reading

1. Thomas G.B. and Finney R.L., Calculus and Analytic Geometry, Part II, Addison-Wesley, New York, 1994.
2. Sherman K. Stein, Anthony Barcellos, Calculus ve Analitik Geometri , 2.Cilt, McGraw-Hill-Literatür Yayıncılık, Istanbul, 1996.
3. Hughers H., Gleason M., at al. , Single and Multivariable Calculus, John Wiley and Sons, 3rd Edition, New York, 2002.

Planned Learning Activities and Teaching Methods

Sunum, Uygulama, Ödev

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE1 * 0.25 + MTE2 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.25 + MTE2 * 0.25 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1.Vize (%25)+2.Vize(%25)+Final(%50)

Language of Instruction

Turkish

Course Policies and Rules

Yok

Contact Details for the Lecturer(s)

Phone: +90 232 3017356
GSM: +90 532 4073583
Fax: +90 232 4121129
e-mail: serife.faydaoglu@deu.edu.tr

Office Hours

Çarşamaba (9.00 / 11.00)

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 4 48
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 2 7 14
Preparation for final exam 1 9 9
Final 1 2 2
Midterm 2 2 4
TOTAL WORKLOAD (hours) 101

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.14432
LO.23342
LO.3554
LO.45443
LO.55443