Now that I am coming close to finishing my four years at Cornell, it's amazing just how much I have done while here. Following is a list of all the courses that I've taken.

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Fall 1997

• ENGRI 126: Introduction to Telecommunications
• MATH 293: Engineering Math
• PHYS 112: Mechanics
• S&TS 107: FWS - Technology and Society
• PE: Caving

Spring 1998

• CHEM 211: Chemistry for the Applied Sciences
• CS 212: Structure and Interpretation of Computer Programs
• HIST 126: Local History of Cornell University
• MATH 294: Engineering Math
• PHYS 213: Heat & Electromagnetism
• PE: Cross Country Skiing

Fall 1998

• CS 280: Discrete Structures
• CS 314: Introduction to Digital Systems and Computer Organization
• ECON 301: Microeconomics
• ENGRD 231: Introduction to Digital Systems
• PHYS 214: Optics, Waves and Particles

Spring 1999

• CS 213: C++ Programming
• CS 222: Introduction to Scientific Computing
• CS 410: Data Structures
• ENGRD 270: Engineering Probability and Statistics
• HIST 292: Inventing the Power and Information Society
• CS 212: Structure and Interpretation of Computer Programs (TA)

Summer 1999

• CS 381: Introduction to Theory of Computing
• CS 414: Systems Programming and Operating Systems
• CS 482: Introduction to Analysis of Algorithms
• CS 490: Independent Reading and Research (with Greg Morrisett)

Spring 2000

• CS 412: Introduction to Compilers and Translators
• CS 413: Practicum in Compilers and Translators
• CS 486: Applied Logic
• HADM 315: Business Law
• HADM 418: Innovation and Dynamic Management
• HADM 415: Managerial Leadership
• CS 212: Structure and Interpretation of Computer Programs (TA)

Fall 2000

• CS 490: Independent Reading and Research (with Andrew Myers)
• CS 501: Software Engineering
• CS 611: Advanced Programming Languages
• OR 350: Financial and Managerial Accounting
• CS 312: Structure and Interpretation of Computer Programs (TA)

Spring 2001

• CS 490: Independent Reading and Research (with Andrew Myers)
• CS 612: Advanced Compilers
• CS 686: Logics of Programming
• CS 312: Structure and Interpretation of Computer Programs (TA)