Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Mathematics For Chemists KMY231 Turkish Compulsory 3. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Prof. Dr. EMİNE TEKİN
Instructor(s)
Goals Is intended to teach basic math concepts and the use of equations of chemical processes.
Course Content Coordinate systems Functions and graphs Logarithms Differential calculus Integral calculus Differential equations Infinite series Scalars and vectors Matrices and determinants Operators Numerical analysis Mathematica® Applications in Chemistry
Learning Outcomes
# Öğrenme Kazanımı
1 To be able to gain an experience and practice to define and explain necessary and basic mathematical techniques and applications encountered in subjects areas such as thermodynamics, quantum mechanics and physical chemistry.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Coordinate systems. Cartesian, plane polar and spherical polar coordinates. Complex numbers and its usage in chemistry. Complex plane
2. Week Functions and graphs. Graphical representation of functions. Roots to polynomial equations.
3. Week Logarithms. General properties of logarithms. Common logarithms, natural logarithms.
4. Week Differential calculus : Functions of single variables. Functions of several variables. Partial derivatives, total differential, exact differential. Geometric properties of derivatives. Constrained maxima and minima.
5. Week Integral calculus : proper and improper integral; general methods of integration; applications of proper integrals; multiple integrals.
6. Week Differential equations : classifications of ordinary differential equations and their solutions; partial differential equations; wave equation; Schrödinger’s equation; special polynomial solutions : Hermite equation; Laguerre equation
7. Week Infinite series : Tests for convergence and divergence; power series; Taylor ve Maclaurin series; Binomial series; Fourier series and Fourier transformations.
8. Week Midterm exam
9. Week Scalars and vectors : Scalars; vectors; summation of vectors; multiplications of vectors. Vector applications.
10. Week Matrices and determinants : Square matrices and determinants; matrix algebra; solution of systems of linear equations; eigen values and eigen vectors.
11. Week Operators : vector operators; eigen values and eigen functions; Hamiltonian operators; Hermitian operators; rotational operators; transformation of coordinate systems.
12. Week Numerical analysis; Numerical methods : Newton-Raphson method; numerical integration. Basic statistics and error analysis : probability, experimental errors; propagation of errors; least square method and curve fitting.
13. Week Mathematica® Applications in Chemistry
14. Week Mathematica® Applications in Chemistry
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 In addition to expanding and making deeper the knowledge established on high school education in a same or different area, to be able to reach knowledge, evaluate and interpret it to be able to do practice.
2 By utilizing incomplete or limited data in his or her study area, to be able to expand the knowledge by scientific methods and use them in scientific, social and ethical responsibility
3 To be able to define a problem, propose a solution method, solve it, evaluate the results and apply if it is necessary in his or her area
4 To be able to transfer systematically the current developments, his or her studies to the other people as written, orally and visually
5 To be able to develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in his or her area of practice.
6 To be able to develop strategic, political and practice plans and evaluate the results by taking into account the quality process in his or her study area.
7 To have knowledge about software and hardware about computers and be able to use and improve data processing and communication abilities
8 To be able to watch scientific, social, and ethical values and teach and control them in the step of data collection, evaluation and announcement of them.
9 To have a knowledge about work safety, work healty, social security rights, quality control, quality management and environmental proteciton concepts.
10 To be able to apply the digested knowledge and problem solving ability in the collaborations between different groups
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 4
PY2 4
PY3 3
PY4 3
PY5 3
PY6 2
PY7 4
PY8 3
PY9 3
PY10 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Homework 5 1 5
Preparation, After Class Study 12 1 12
Research 12 1 12
Other Activities 14 2 28
Sınavlar
Midterm 1 1 1.5 1.5
Final 1 1.5 1.5
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0