Introduces abstraction as an important mechanism for problem decomposition and solution formulation in the biomedical domain, and examines computer representation, storage, retrieval, and manipulation of biomedical data. Examines effect of programming paradigm choice on problem-solving approaches, introduces data structures and algorithms. Presents knowledge representation schemes for capturing biomedical domain complexity. Teaches principles of data modeling for efficient storage and retrieval. The final project involves building a medical information system that encompasses the different concepts taught in the subject.

This class introduces studies in the algorithmic manipulation of type as word, symbol, and form. Problems covered will include semantic filtering, inherently unstable letterforms, and spoken letters. The history and traditions of typography, and their entry into the digital age, will be studied. Weekly problem sets using Java will explore new ways of looking at and manipulating type.

Students explore the concept of optical character recognition (OCR) in a problem-solving environment. They research OCR and OCR techniques and then apply those methods to the design challenge by developing algorithms capable of correctly "reading" a number on a typical high school sports scoreboard. Students use the structure of the engineering design process to guide them to develop successful algorithms. In the associated activity, student groups implement, test and revise their algorithms. This software design lesson/activity set is designed to be part of a Java programming class.

Testing is critical to any design, whether the creation of new software or a bridge across a wide river. Despite risking the quality of the design, the testing stage is often hurried in order to get products to market. In this lesson, students focus on the testing phase of the software/systems design process. They start by exploring existing examples of program testing using the CodingBat website, which contains a series of problems and challenges that students solve using the Java programming language. Working in teams, students practice writing test cases for other groups' code, and then write test cases for a program before writing the program itself.

This project was created for use in AP-CSA at Baraboo High School after about a month of learning FuP, Fundamentals of Programming. Below is a list of recommended skills prior to attempting this project. Boilerplate and Scanner code are provided. Students are not taught how to code within the directions of this project. This project provides students an opportunity to apply and practice what they have already learned. Instructions are provided with steps suggested to complete this project.

Repl.it is an online Java IDE ideal for classrooms as it’s free and works within a browser, even on low powered Chromebooks. Creating a Repl allows embedding a working console executing Java code on a website. This is impressive for the senior exit portfolio as many projects created in AP-CSA are complex and abstract and hard to demonstrate to the general public.

Google Sites will be the platform used to publish this project. Detailed step by step instructions on how to embed a Repl onto a website is provided. Google Sites can be created for free by creating a Google Account.

Coding Experience Recommended for this project:

Boilerplate Code
System.out.print()
Variables
Conditionals and Booleans
Iteration (especially while loops)
Coding Experience Suggested for this project:

Scanner (Scanner code provided)
String Handling
Google Sites (Detailed instructions provided)

This course is based on the work of the MIT-African Internet Technology Initiative (MIT-AITI). MIT-AITI is an innovative approach by MIT students to integrate computers and internet technology into the education of students in African schools. The program focuses upon programming principles, cutting-edge internet technology, free open-source systems, and even an entrepreneurship seminar to introduce students in Africa to the power of information technology in today's world. MIT-AITI achieves this goal by sending MIT students to three African nations in order to teach both students and teachers through intensive classroom and lab sessions for six weeks. The AITI program is implemented with emphasis on classroom teaching, community-oriented projects, and independent learning. This course has two major components: Content from a spring 2005 preparatory seminar offered by the MIT-AITI leadership. The goal of this seminar is to adequately prepare the AITI student teachers for their upcoming summer experiences in Africa. A snapshot of the summer 2005 MIT-AITI program. This includes the Javaĺ¨-based curriculum that MIT-AITI ambassadors teach in Africa each year, as well as content from an entrepreneurship seminar offered concurrently with the IT class.

This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures. Students use Java programming language to complete weekly software assignments. How is 1.00 different from other intro programming courses offered at MIT? 1.00 is a first course in programming. It assumes no prior experience, and it focuses on the use of computation to solve problems in engineering, science and management. The audience for 1.00 is non-computer science majors. 1.00 does not focus on writing compilers or parsers or computing tools where the computer is the system; it focuses on engineering problems where the computer is part of the system, or is used to model a physical or logical system. 1.00 teaches the Java programming language, and it focuses on the design and development of object-oriented software for technical problems. 1.00 is taught in an active learning style. Lecture segments alternating with laboratory exercises are used in every class to allow students to put concepts into practice immediately; this teaching style generates questions and feedback, and allows the teaching staff and students to interact when concepts are first introduced to ensure that core ideas are understood. Like many MIT classes, 1.00 has weekly assignments, which are programs based on actual engineering, science or management applications. The weekly assignments build on the class material from the previous week, and require students to put the concepts taught in the small in-class labs into a larger program that uses multiple elements of Java together.

This course focuses on introducing the language, libraries, tools and concepts of Java®. The course is specifically targeted at students who intend to take 6.170 in the following term and feel they would struggle because they lack the necessary background. Topics include: Object-oriented programming, primitives, arrays, objects, inheritance, interfaces, polymorphism, hashing, data structures, collections, nested classes, floating point precision, defensive programming, and depth first search algorithm.

Student groups use the Java programming language to implement the algorithms for optical character recognition (OCR) that they developed in the associated lesson. They use different Java classes (provided) to test and refine their algorithms. The ultimate goal is to produce computer code that recognizes a digit on a scoreboard. Through this activity, students experience a very small part of what software engineers go through to create robust OCR methods. This software design lesson/activity set is designed to be part of a Java programming class.

MASLab (Mobile Autonomous System Laboratory) is a robotics contest. The contest takes place during MIT's Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks. MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human intervention. Finally, MASLab is one of the few robotics contests in the country to use a vision based robotics problem.

The aim of the students from the Numeric Photography class at the MIT Media Laboratory was to present an exhibition of digital artworks which blend photography and computation, in the context of scene-capture, image-play, and interaction. Equipped with low-end digital cameras, students created weekly software projects to explore aesthetic issues in signal processing and interaction design. The results are more than a hundred Java applets -- many of which are interactive -- that suggest new avenues for image-play on the computer. These weekly exercises led to the final product, an exhibition of the student work.

Offered as an introduction to the field of data structures and algorithms, Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Focusing on a mathematically rigorous approach that is fast, practical, and efficient, Morin clearly and briskly presents instruction along with source code.

Analyzed and implemented in Java, the data structures presented in the book include stacks, queues, deques, and lists implemented as arrays and linked-lists; space-efficient implementations of lists; skip lists; hash tables and hash codes; binary search trees including treaps, scapegoat trees, and red-black trees; integer searching structures including binary tries, x-fast tries, and y-fast tries; heaps, including implicit binary heaps and randomized meldable heaps; graphs, including adjacency matrix and adjacency list representations; and B-trees.

A modern treatment of an essential computer science topic, Open Data Structures is a measured balance between classical topics and state-of-the art structures that will serve the needs of all undergraduate students or self-directed learners.

A graduate-level introduction to artificial intelligence. Topics include: representation and inference in first-order logic; modern deterministic and decision-theoretic planning techniques; basic supervised learning methods; and Bayesian network inference and learning.

Students gain experience using the software/systems (engineering) design process, specifically focusing on the testing phase. This problem-based learning activity uses the design process to solve open-ended challenges. In addition to learning about test cases for testing software, students utilize the design process as a vehicle to work through a problem and arrive at a solution.

JUnit is a testing method that is included with NetBeans (Java) installs or can be downloaded from the web and included in the Java build. In this activity, students design tests for a provided Java class before the class methods are constructed using a process called test-driven development. To create a design, the software/system design process, which is a specific case of the engineering design process, is followed. After students create a design, it is implemented and tested and if necessary, the design undergoes editing to make sure it functions by testing the Java class correctly. To conclude the activity, students write the methods in the Java class using their tests to debug the program.

Think Java is an introduction to Java programming for beginners. It is tailored for students preparing for the Computer Science Advanced Placement (AP) Exam, but it is for anyone who wants to learn Java.

Students focus on the testing phase of the design process by considering how they have tested computer programs in the past and learning about a new method called JUnit to test programs in the future. JUnit is a testing method that is included with NetBeans (Java) installs or can be downloaded from the web and included in the Java build. Students design tests using JUnit and implement those tests.