Summer Institute 2017

Workshops

    Exploring Computer Science

    Computational Thinking & Creative Problem Solving

    MicroController Labs & Activities

    EMC Data Science

The Broadening Advanced Technological Educational Connections (BATEC) Summer Institute provides no cost, intensive, week-long “Train the Trainer” professional development opportunities in emerging technologies to high school teachers and community college faculty.These week-long workshops develop the expertise needed to teach leading-edge, nationally recognize curriculum content in the fields of Programming, Computer Science and Information Technology.

The BATEC Center of Excellence is located at the University of Massachusetts Boston and is sponsored by the National Science Foundation. Course are available on a first-come, first serve basis.

Workshops run from 9:00 a.m. to 5:00 p.m. Monday through Thursday and Friday 9:00 a.m. to 12:30 p.m, and are located at the UMass Boston campus on Columbia Point (adjacent to both the Edward M Kennedy Institute and the John F Kennedy Library). Shuttle service to/from the JFK/UMass red line stop on the T.

Exploring Computer Science

 
Week 2: 7 August to 11 August
Exploring Computer Science is a yearlong course consisting of 6 units, approximately 6 weeks each. The course is centered on a framework of both computer science content and computational practice. Assignments and instruction are particularly meaningful for diverse students as career, ethical and social social issues, are woven throughout the six units. Students study the responsibilities of software users and software developers with respect to intellectual property rights, software failures, and the piracy of software and other digital media. They are introduced to the concept of open-source software development and explore its implications.

Computational Thinking & Creative Problem Solving

 
Week 2: 7 August to 11 August
This workshop prepares the participant to teach in a classroom culture modeled after a professional workplace featuring business practices and project teams. Students are treated as responsible employees working together to produce quality assignments and deliverables. The course focus is on systematic problem solving strategies and the creation of reusable algorithms as the precursor to computer programming. Collaboration, innovation, and critical thinking skills are key student learning outcomes that are appraised as part of the grading rubric.

MicroController Labs & Activities (Raspberry PI, Arduino, Microbits)

 
Week 1: 31 July to 4 August
This workshop will introduce participants to the Raspberry Pi, Arduino and micro:bit single-board computer and microcontrollers, inexpensive platforms that can do amazing things. Each device has its own capabilities and the projects will demonstrate the array of activities that can be integrated within your classroom.  Additionally, we will discuss how these devices platforms can be enrich outreach activities to drive interest in your educational programs, and introduce students to STEM areas. Participants will be able to get access to all materials (slides, labs, etc) presented during the workshop, and will be able to use it under a Creative Commons license.

MicroController Labs & Activities (Raspberry PI, Arduino, Microbits)

 
Week 2: 7 August to 11 August
This workshop will introduce participants to the Raspberry Pi, Arduino and micro:bit single-board computer and microcontrollers, inexpensive platforms that can do amazing things. Each device has its own capabilities and the projects will demonstrate the array of activities that can be integrated within your classroom.  Additionally, we will discuss how these devices platforms can be enrich outreach activities to drive interest in your educational programs, and to introduce students to STEM areas. Participants will be able to get access to all materials (slides, labs, etc) presented during the workshop, and will be able to use it under a Creative Commons license.

EMC Data Science

 
Week 2: 7 August to 11 August
The course prepares the participant for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam, and establishes a baseline of Data Science skills that can be enhanced with additional training and further real-world experience. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. The extensive labs throughout provide many opportunities for students to apply these methods and tools to real-world business challenges as a practicing Data Scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle.