Machine Learning Applications in Genetics
Requisites: course 32 or Program in Computing 10C with grade of C– or better, Mathematics 33A, and one course from Civil Engineering 110, Electrical and Computer Engineering 131A, Mathematics 170A, Mathematics 170E, or Statistics 100A.
19 courses across 6 departments, 4 choice points · 2 requisite links run off the edge of this view
COM SCI C224 — Machine Learning Applications in Genetics COM SCI C224 Machine Learning Appli… COM SCI 32 — Introduction to Computer Science II COM SCI 32 Introduction to Comput… COM SCI 31 — Introduction to Computer Science I COM SCI 31 Introduction to Comput… C&EE 110 — Introduction to Probability and Statistics for Engineers C&EE 110 Introduction to Probab… MATH 32A — Calculus of Several Variables MATH 32A Calculus of Several Va… MATH 31A — Differential and Integral Calculus MATH 31A Differential and Integ… MATH 33A — Linear Algebra and Applications MATH 33A Linear Algebra and App… COMPTNG 10C — Advanced Programming COMPTNG 10C Advanced Programming COMPTNG 10B — Intermediate Programming COMPTNG 10B Intermediate Programmi… EC ENGR 131A — Probability and Statistics EC ENGR 131A Probability and Statis… MATH 32B — Calculus of Several Variables MATH 32B Calculus of Several Va… MATH 31B — Integration and Infinite Series MATH 31B Integration and Infini… MATH 33B — Differential Equations MATH 33B Differential Equations MATH 3B — Calculus for Life Sciences Students MATH 3B Calculus for Life Scie… MATH 3A — Calculus for Life Sciences Students MATH 3A Calculus for Life Scie… STATS 100A — Introduction to Probability STATS 100A Introduction to Probab… MATH 170A — Probability Theory I MATH 170A Probability Theory I MATH 131A — Analysis MATH 131A Analysis MATH 170E — Introduction to Probability and Statistics 1: Probability MATH 170E Introduction to Probab… one of one of Also satisfied by COMPTNG 10A, not drawn in this view. one of +1 one of click a course to read it · double-click to redraw the map around it