Academics

Academics

  Current GPA 3.730

Below are some relevant academic courses I have taken or will be taking

Year 1
American Economic History
-Follows the history of the American Economy from colonization through modern day
Introduction to Engineering
-Required to invent a product for consumer user
-Create a prototype of the invention
-My group created a robot that could squeegee a tennis court automatically
Introduction to Programming
-Learned Python as a programming language and basic coding skills
Science of Information
-Learned basics of information science such as encoding, sampling, and manipulation of data
Sotware Development Methods>
- Learned Java as a programming language
- Worked with Junit tests, time complexity, Agile method, and Machine Learning
Year 2
Discrete Mathematics
-Extensive proofs of mathematical structures including set and number theory, induction and recursion, and graph theory
Priciples of Economics: Microeconomics
-Basics of Microeconomic priciples and theory and economic thinking
Principles of Economics: Macroeconomics
-Basics of Macroeconomic priciples and theory and economic thinking
Data and Information Engineering
-Further study of Java programming in relationship to information systems
-Use of Amazon Web Services for completing large scale computational problems
-Creation and use of SQL databases
Year 3
Deterministic Decision Models
-Introduction to deterministic optimization models
-Starts with network optimization models and ends with unstructured linear optimization models
Human Machine Interface
-Introduction to the fundamentals for the analysis, design, and evaluation of human centered systems
Economics of Engineering Systems
-Introduction to the thory of industrial organization and its applications
Practice of Data Science
-Introduction to the practice of data science
System Evaluation
-Illustrates the concepts and processes of systems evaluation using case studies
Stochastic Decision Models
-Introduction to Mathematical Modeling of forecasts and decisions under uncertainty using principles of statistical decision theory
Discrete Event Simulation
-A first course in theory and practice of discrete event simulation
Year 4
Linear Statistical Models
-Shows how to use linear statistical models for analysis in engineering and science
Systems Design I
-A design project extending through the fall and spring semester