Students learn how to select, design, implement, and evaluate a variety of computational tools and techniques to solve problems in the field of biology such as sequencing DNA, identifying and predicting genes, and detecting RNA structures. They are introduced to the principles and practical approaches of bioinformatics including exhaustive search, greedy algorithms, dynamic programming, divide and conquer, graph applications, clustering and trees, pattern matching, and hidden Markov models.
Priority registration in this course is offered to students admitted to the Bachelor of Science in Bioinformatics.
Prerequisite(s): A minimum "C" grade in BIOL 2315, 2330, CPSC 2150, 3260, and STAT 3225; and a minimum "C" grade in MATH 1252 or 2362 and 2382.
Credits:
4.0
Additional Fees:
$81.1
Repeat Limit:
0
Lecture Hours:
4.0
Seminar Hours:
0.0
Lab Hours:
2.0
Offered online:
False
Course outline(s):
None
| 2AR | 2SC | HUM | LSC | SCI | SOC | UT |
|---|---|---|---|---|---|---|
| None | None | None | None | None | None | None |
No active transfer agreements found.
No inactive transfer agreements found.
No offerings found for this semester (2024 30).
| Semester | Seats | Waitlist | Days | Time | Room | Type | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 10 | 23 | N/A | --WR--- | 1630-1820 | T450 | Lecture | Ryan Zier-Vogel |
| ----F-- | 1630-1820 | T450 | Lab | Ryan Zier-Vogel | |||
| ---R--- | 1830-2125 | A284 | Exam | Ryan Zier-Vogel | |||
| 2023 10 | 23 | N/A | -T--F-- | 1030-1220 | A284 | Lecture | Ryan Zier-Vogel |
| --W---- | 1030-1220 | T450 | Lab | Ryan Zier-Vogel | |||
| -T----- | 1830-2125 | A284 | Exam | Ryan Zier-Vogel |