Hi everyone,
I got admitted for stats major this fall semester. I’m trying to plan my courses in advance; however, it’s a scratch draft. I’m not sure if I can complete everything in the next two years. Firstly, I’m not sure the work load for those classes. Secondly, I don’t know if those classes fit my goals. Can someone major in stat/CS/operations research take a look at my plan schedule and give me advices?
My goals: I really like operations research and I would like to go for it for grad program later. I originally applied as stats major for two reasons: stats will be of great help to go for big datas and I can’t apply for ORMS dept.
So I come up with some alternative course which I think may provide me with necessary skills:
Fall 2015:
Math 54: Linear Algebra & Diff Eqt
Cs 70: Discrete Math
CS 61c: machine Structure
IEOR 162: Linear Programming
Spring 2016
Stat 134: Introduction to Probability
CS 61b: Data structures
Music 26Ac
Summer 2016:
Stat 133:Concepts computing with data
CS 61a: Structure and Interpretation of Computer Programs
Fall 2016: (declared stats)
Stat 135: concepts of statistics
cs 170: algorithms
Stat 150: Stochastic Processes
Stat 151a: linear modeling
Spring 2017:
Stat 151b: linear modeling
Stat 159 (lab) Reproducible and Collaborative Statistical Data Science
IEOR 115: Introduction to Database
…( I haven’t decided yet, maybe some computer science classes ?)
Is this schedule doable or insane? Would it prepare me enough for the operations research grad program later?
Any advice would be much appreciated. thank you so much in advance for your time and patience!