Course Syllabus
Analysis of Chromatographic and MS data
VIT_ENOL 519
Semester and Year | Fall 2025
Number of Credit Hours | 2
Prerequisites | Consent of instructor
Course Details
Day and Time: Weekend workshop; 2 weekends TBD
Meeting Location: TWSC 201
Instructor Contact Information
Instructor Name: Dr. Thomas Collins
Instructor Contact Information: WSC 239A, 509-372-7515, tom.collins@wsu.edu
Instructor Office Hours: tbd
Course Description
This is a weekend workshop course on the analysis of chromatographic and mass spectrometry data which meets over two weekends in the fall semester. This course will discuss the processing of gas chromatography (GC), liquid chromatography (LC) and mass spectroscopy (MS) data from raw data files for further processing in multivariate statistical software packages. Workflow development for specific mass spectrometry data types will be discussed.
Course Materials
Books: Reading assignments will come from journal selections, instrument manufacturer literature and other sources. All reading assignments will be posted on Canvas
Fees: TBD
|
Course Learning Outcomes (students will be able to:) |
Activities Supporting the Learning Outcomes | Assessment of the Learning Outcomes |
|---|---|---|
| apply techniques for supervised and unsupervised analysis to chemometric data from VIT_ENOL 518 experiments or to the student's research data | lecture materials, hands-on analysis of sample data sets or student data sets | hands-on lab reports, class data analysis project |
| develop workflows for the analysis of complex chemometric data sets | lecture materials, hands-on analysis of class project data sets and student research data if available | hands-on lab reports, class data analysis project |
| critically evaluate the peer-reviewed literature related to chromatography and mass spectrometry |
preparation of literature related to analysis of a compound or class of compounds of interest to the student |
Literature review |
| Dates | Lesson Topic | Assignment | Assessment |
|---|---|---|---|
|
Weekend 1 |
Lecture: Course overvies, data analysis workflows, data evaluation, workflow examples Hands-on: Installing data analysis software, processing GC/MS data, compound identification using databases |
preparation of hands-on lab report | hands-on lab report |
| Weekend 1 [1st Sunday] |
Lecture: Un-targeted data analysis, targeted data analysis, Hands-on: Introduction to qualitative analysis/Mass Profiler Professional (MPP), introduction to quantitative analysis, Molecular Feature Extractor, development of an AMDIS/NIST method for GC/MS data |
preparation of hands-on lab report, preparation of literature review | hands-on lab report |
| Weekend 2 [2nd Saturday] |
Lecture: Developing LC/MS data workflows, developing GC/MS data workflows Hands-on: Quantitative analysis of a test data set, development of a compound database using PCDL |
preparation of hands-on lab report | hands-on lab report |
| Weekend 2 [2nd Sunday] |
Lecture: Evaluation of case study data using MPP, documenting data analysis methods, reporting data analysis methods in manuscripts Hands-on: Method development and analysis of VIT_ENOL 518 student project data |
preparation of hand-on lab report | hands-on lab report, literature review, class project report |
Expectations for Student Effort
For each hour of lecture equivalent, students should expect to have a minimum of two hours of work outside of class, including preparation of lab reports, preparation of literature review, conducting analysis of class project data and preparing class project reports.]
Grading
| Type of Assignment (tests, papers, etc) | Points | Percent of Overall Grade |
|---|---|---|
| Hands-on lab reports (4) | 40 points each (160 total | 40 |
| Literature review | 120 points | 30 |
| Class project report | 120 points | 30 |
| Grade | Percent | Grade | Percent |
|---|---|---|---|
| A |
>93.0 |
C | 73.0-76.9 |
| A- | 90.0-92.9 | C- | 70.0-72.9 |
| B+ | 87.0-89.9 | D+ | 67.0-69.9 |
| B | 83.0-86.9 | D | 60.0-66.9 |
| B- | 80.0-82.9 | F | <60.0 |
| C+ |
77.0-79.9 |
Attendance and Make-Up Policy
This course meets over two weekends and students are expected to attend all scheduled lectures or sessions. If absent for a lecture or session, the student is solely responsible for course content that was missed.
Academic Integrity Statement
You are responsible for reading WSU's Academic Integrity Policy, which is based on Washington State law. If you cheat in your work in this class you will:
-be referred to the Office of Student Conduct and may fail the assignment or the course.
-Be reported to the Center for Community Standards
-Have the right to appeal my decision
-Not be able to drop the course of withdraw from the course until the appeals process is finished
If you have any questions about what you can and cannot do in this course, ask me.
If you want to ask for a change in my decision about academic integrity, use the form at the Center for Community Standards website. You must submit this request within 21 calendar days of the decision.