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