| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Instrumental Analysis I | KIM313 | Elective | Bachelor's degree | 3 | Fall | 5 |
Name of Lecturer(s)
Prof. Dr. Ümüt AY
Prof. Dr. Deniz BİNGÖL
Associate Prof. Dr. Seda KARAYÜNLÜ BOZBAŞ
Learning Outcomes of the Course Unit
1) Learn about the theory of spectroscopic methods
2) Learns the principles of atomic spectroscopic methods and develops their applications
3) Learns the principles of molecular spectroscopic methods and applies them
4) Learns the optical parts of spectroscopic devices
5) Evaluates relevant basic information and develops resources using analytical devices
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | High | High | Middle | High | High | Middle | Middle | Middle | Middle | High | Low | |
| 2 | High | High | High | Low | No relation | High | High | Middle | Middle | Middle | High | Low | |
| 3 | High | High | High | Low | High | High | Middle | Middle | Middle | Middle | High | Low | |
| 4 | High | High | High | Low | High | High | Middle | Middle | Middle | Middle | High | Low | |
| 5 | High | High | High | Low | High | High | High | Middle | Middle | Middle | High | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Analytical Chemistry I
Course Contents
This course includes basic principles of spectroscopy, absorption laws, optical units, atomic absorption spectroscopy, atomic fluorescence spectroscopy and atomic emission spectroscopy.
Weekly Schedule
1) Importance of statistics in chemistry2) Statistical analysis of experimental data
3) Statistical methods for normal distribution
4) Method validation
5) Evaluation of measurements and results
6) The analysis of variance
7) One-way and two-way analysis of variance
8) Midterm exam
9) Calibration methods: regression and correlation coefficient
10) Calibration graphs in instrumental analysis
11) Standard addition methods
12) Experimental design and optimization
13) Latin squares experiment
14) The quality of analytical measurements
15) Application of analytical data
16) Final exam
Recommended or Required Reading
1- J.N. Miller, J.C. Miller, “Statistics and Chemometrics for Analytical Chemistry”, 05
Edition, Ellis Horwood, 1993.
2- D. Harvet, “Modern Analytical Chemistry”, DePauw University, 2000.
3- D.Brynn Hibbert, J.Justin Gooding, “Data Analysis for Chemistry”, An
Introductory Guide for Students and Laboratory Scientists, Oxford University Pres,
2006.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Group Study
6) Brain Storming
7) Lab / Workshop
8) Self Study
9) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
English
Work Placement(s)
Not Required