An introduction to the theory, strategies, and practice of data management and analysis in molecular biology. Topics include DNA and protein sequence analysis, biological databases, genomic mapping, and analysis of gene expression data.
By the end of the course, students should
| PLNT4610 - Undergraduate |
|
|
Assignments, 3 @ 20% each Assignments will be designed to test both understanding of theory and the ability to apply theory to a specific problem. Four assignments may be handed in, but only the top three grades will count. Students will post completed assignments to their web sites for viewing by the instructor. Topics may include:
|
60% |
|
Mid-term examination |
20% |
|
Final examination |
20% |
| PLNT7690 - Graduate | |
| Assignments, 4 @
20% each
Assignments will be designed to test both understanding of theory and the ability to apply theory to a specific problem. Five assignments may be handed in, but only the top four grades will count toward the final grade. In some cases, students will post completed assignments to a Web page for viewing by the instructor. Topics may include:
|
80% |
| WWW presentation
Each student will prepare and present a 15-min. Web-based presentation in class. The presentation will focus on some aspect of bioinformatics. It may be done at any time during the term, during class. Depending on enrollment, it may be necessary to schedule an evening session to complete all presentations. |
20% |
Grading is according to the Letter Grade System (Undergraduate Calendar section 3) ranging from 0 to 4.5 or F to A+. Roughly speaking, a C corresponds to understanding of a large portion of the material, the B range encompasses mastery of most of the material, and the A range indicates original thinking and creativity. Put another way:
|
Grade Point |
Percentage |
Letter Grade |
comments |
|
4.5/5 |
90% |
A+ |
synthesis, ability to put things together from different parts of the course, original and creative thinking |
|
4.0/5 |
80% |
A |
|
|
3.5/5 |
70% |
B+ |
learning concepts or inferring them from the context; working
with data eg. Given the results of an experiment, what does it tell
you? Given an equation, can you use it correctly? |
|
3.0/5 |
60% |
B |
|
|
2.5/5 |
50% |
C+ |
memorization of facts |
|
2.0/5 |
40% |
C |
|
|
1.5/5 |
30% |
D+ |
|
|
1.0/5 |
20% |
D+ |
Students are reminded that academic dishonesty including plagiarism, cheating and examination impersonation is subject to severe academic penalties as described the University Policy on Academic Integrity, Section 7 in the General Calendar.