This course is an introduction to the basic concepts and standards underlying financial accounting systems. Several important concepts will be studied in detail, including: revenue recognition, inventory, long-lived assets, present value, and long term liabilities. The course emphasizes the construction of the basic financial accounting statements - the income statement, balance sheet, and cash flow statement - as well as their interpretation.

Professor: Allison Nicoletti

Average Rating (out of 4): 3.1

Math involved:

• Analyzation of financial statements

High school math that helps:

• Algebra 1

Was AP helpful? Not for this class

Textbook required: Introduction to Financial Accounting by Horngren, Sundem, Elliott and Philbrick and Wharton Accounting 101 Supplemental and Solutions Manual (sold in bundle)

Example Sylabus

The first part of the course presents alternative methods of preparing managerial accounting information, and the remainder of the course examines how these methods are used by companies. Managerial accounting is a company's internal language, and is used for decision-making, production management, product design and pricing and for motivating and evaluating employees. Unless you understand managerial accounting, you cannot have a thorough understanding of a company's internal operations. What you learn in this course will help you understand the operations of your future employer (and enable you to be more successful at your job), and help you understand other companies you encounter in your role as competitor, consultant, or investor.

Professor: Mirko S. Heinle

Average Rating (out of 4): 2.5

Math involved:

• Profit/cost analysis
• Earnings forecasting

High school math that helps:

• Algebra 1

Was AP helpful? No

Textbook required: Malea Fashion District, How Successful Managers Use Financial Information to Grow Organizations, 2nd Edition, 2009 and Shim, Jae K. and Joel G. Siegel, Shaum’s Outlines, Managerial Accounting, 2nd Edition, McGraw Hill

Example Sylabus

Introduction to Computer Programming is the first course in our series introducing students to computer science. In this class you will learn the fundamentals of computer programming in Java, with emphasis on applications in science and engineering. You will also learn about the broader field of computer science and algorithmic thinking, the fundamental approach that computer scientists take to solving problems.

Professor: Paul W. McBurney

Average Rating (out of 4): 2.4

Math involved:

• Coding

High school math that helps:

• AP Computer Science Principles
• ScriptEd

Was AP helpful? Not AP Calc, but AP CS

Textbook required: Introduction to Programming in Java: An Interdisciplinary Approach by Robert Sedgewick and Kevin Wayne

Example Sylabus

A fast-paced introduction to the fundamental concepts of programming and software design. This course assumes some previous programming experience, at the level of a high school computer science class or CIS110. (If you got at least 4 in the AP Computer Science A or AB exam, you will do great.) No specific programming language background is assumed: basic experience with any language (for instance Java, C, C++, VB, Python, Perl, or Scheme) is fine. If you have never programmed before, you should take CIS 110 first.

CIS 110 recommended first

Professor: Stepan A. Zdancewic

Average Rating (out of 4): 3.2

Math involved:

• Coding (data types, structures)

High school math that helps:

• AP Computer Science Principles
• ScriptEd

Was AP helpful? AP CS

Textbook required: none

Example Sylabus

This is a course about Algorithms and Data Structures using the JAVA programming language. We introduce the basic concepts about complexity of an algorithm and methods on how to compute the running time of algorithms. Then, we describe data structures like stacks, queues, maps, trees, and graphs, and we construct efficient algorithms based on these representations. The course builds upon existing implementations of basic data structures in JAVA and extends them for the structures like trees, studying the performance of operations on such structures, and theiefficiency when used in real-world applications. A large project introducing students to the challenges of software engineering concludes the course.

Pre-Reqs: CIS 120, CIS 160

Professor: Rajiv Gandi

Average Rating (out of 4): 3.6

Math involved:

• Coding
• Data Structures and Algorithms

High school math that helps:

• AP Computer Science Principles
• ScriptEd

Was AP helpful? AP CS

Textbook required: Introduction to Algorithms, 3rd edition by Cormen, Leiserson, Rivest, and Stein

Example Sylabus

What are the basic mathematical concepts and techniques needed in computer science? This course provides an introduction to proof principles and logics, functions and relations, induction principles, combinatorics and graph theory, as well as a rigorous grounding in writing and reading mathematical proofs.

Corequisite: CIS 120

Professor: Rajiv Gandi

Average Rating (out of 4): 3.6

Math involved:

• Notation
• Proofs
• Discrete Probability
• Graph Theory

High school math that helps:

• AP Computer Science Principles
• Geometry

Was AP helpful? AP CS

Textbook required:none

Example Sylabus

The first part of the course covers basic microeconomic concepts such as opportunity cost, comparative advantage, supply and demand, importance of costs and revenues under perfect competition vs. monopoly, externalities and public goods. The second part of the course introduces macroeconomic data, two models of the labor market, a model of the aggregate household, and the standard AD-AS model. The course concludes with an introduction to fiscal policy, banking, and the role of the Central Bank.

Professor: Gizem Saka

Average Rating (out of 4): 3.4

Math involved:

• Market analysis

High school math that helps:

• Not really, but a bit of Trig

Was AP helpful? Sure

Textbook required: Hubbard and O’Brien, Economics, 5/E, published by Pearson

Example Sylabus

This course provides an introduction to the theory, the methods, and the concerns of corporate finance. The concepts developed in FNCE 100 form the foundation for all elective finance courses. The main topics include: 1) the time value of money and capital budgeting techniques; 2) uncertainty and the trade-off between risk and return; 3) security market efficiency; 4) optimal capital structure, and 5) dividend policy decisions.

Pre-Reqs:ECON 010 or ECON 001 or ECON 002, MATH 104, or MATH 110, ACCT 101 and STAT 101. Acct 101 and Stat 101 may be taken concurrently.

Professor: A. Craig Mackinlay

Average Rating (out of 4): 3.3

Math involved:

• Financial analysis
• Net Present Value (NPV) rule
• Variation (bonds and stocks)

High school math that helps:

• Trig

Was AP helpful?

Textbook required: Corporate Finance 11/e, by Ross, Westerfield, Jaffe and Jordan, 11th edition

Example Sylabus

Very long go on their website

Pre-Reqs:ECON 010 or ECON 001 and ECON 002 and MATH 104 or MATH 110. Students cannot receive credit for both FNCE 101 and ECON 102. WHARTON STUDENTS ARE REQUIRED TO TAKE FNCE 101

Professor: Jeremy Siegel

Average Rating (out of 4): 3.5

Math involved:

• Income accounting
• Consumption
• Investing

High school math that helps:

• Trig

Was AP helpful?

Textbook required: none

Example Sylabus

Brief review of High School calculus, applications of integrals, transcendental functions, methods of integration, infinite series, Taylor's theorem, and first order ordinary differential equations. Use of symbolic manipulation and graphics software in calculus.

Professor: Renato Ghini Bettiol

Average Rating (out of 4): 2.7

Math involved:

• Volumes and SA of revolution
• Integration
• Differentiation
• Sequences and Series

High school math that helps:

• AP Calculus AB
• Pre Calc

Was AP helpful? Yes

Textbook required: Thomas’ Calculus, Custom Edition for the University of Pennsylvania. Pearson 2012

Example Sylabus

Data summaries and descriptive statistics; introduction to a statistical computer package; Probability: distributions, expectation, variance, covariance, portfolios, central limit theorem; statistical inference of univariate data; Statistical inference for bivariate data: inference for intrinsically linear simple regression models. This course will have a business focus, but is not inappropriate for students in the college.

Professor: Abba M. Krieger

Average Rating (out of 4): 2.7

Math involved:

• Data displays
• Correlation and Regression
• Normal distribution and the central limit theorem
• Stat interference

High school math that helps:

• Trig

Was AP helpful? Yes

Textbook required: Thomas’ Calculus, Custom Edition for the University of Pennsylvania. Pearson 2012

Example Sylabus

Continuation of STAT 101. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Business applications.

Pre-Reqs: STAT 101

Professor: Shane Jensen

Average Rating (out of 4): 3.4

Math involved:

• Regression analysis

High school math that helps:

• Trig

Was AP helpful?

Textbook required: Stine and Foster, Statistics for Business: Decision Making and Analysis, Third Edition. Pearson

Example Sylabus