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Computer Science

Students will be able to:

  1. Create formal data definitions given an English-language description of a problem, and apply these data definitions to create and verify specific data examples.
  2. Apply a series of systematic design recipes to a variety of programming problems, including documentation, template, coding, and testing steps.
  3. Utilize a class-based (object-oriented) language to solve a variety of computing problems.
  4. Verbally articulate the benefits and drawbacks of solving different problems using programming paradigms.
  5. Write mid-sized programs using concepts (e.g., objects, classes, messages, methods, interfaces, encapsulation, polymorphism, and inheritance) of object-oriented programming.
  6. Create and maintain applications using the Java programming language.
  7. Create a software system by coordinating in small-scale teams, involving division of functionality, creation of interfaces, and integration and testing of software modules.
  8. Develop programs using a systematic design process involving specification, design, documentation, implementation, testing, and maintenance.

Information Science

Students will be able to:

  1. Create formal data definitions given an English-language description of a problem, and apply these data definitions to create and verify specific data examples.
  2. Apply a series of systematic design recipes to a variety of programming problems, including documentation, template, coding, and testing steps.
  3. Utilize a class-based (object-oriented) language to solve a variety of computing problems.
  4. Verbally articulate the benefits and drawbacks of solving different problems using programming paradigms.
  5. Write mid-sized programs using concepts (e.g., objects, classes, messages, methods, interfaces, encapsulation, polymorphism, and inheritance) of object-oriented programming.
  6. Create and maintain applications using the Java programming language.
  7. Arbitrate amongst different theories or explanations through independently researching a question within information science, encompassing identifying relevant literature and marshaling of evidence.
  8. Present written and oral arguments to justify or refute a hypothesis about information systems.

Data Science

Students will be able to:

  1. Create formal data definitions given an English-language description of a problem, and apply these data definitions to create and verify specific data examples.
  2. Apply a series of systematic design recipes to a variety of programming problems, including documentation, template, coding, and testing steps.
  3. Utilize a class-based (object-oriented) language to solve a variety of computing problems.
  4. Verbally articulate the benefits and drawbacks of solving different problems using programming paradigms.
  5. Write mid-sized programs using concepts (e.g., objects, classes, messages, methods, interfaces, encapsulation, polymorphism, and inheritance) of object-oriented programming.
  6. Create and maintain applications using the Java programming language. Programmatically collect and integrate data in a variety of formats (XML, JSON, HTML) and from a variety of sources (files, databases, and web sites).
  7. Programmatically transform data into a form that is fit for analysis (e.g., prepare data for insertion into a database or as input to a program).
  8. Analyze data using statistical methods, including choosing an appropriate method for a given problem statement (e.g., PCA, k-means clustering, gradient descent, logistic regression).
  9. Articulate the trade offs of varying statistical and data mining algorithms in regards to space, time, and performance.