Robogol 2014

ICMI 2014

The International Conference on Multimodal Interaction, ICMI 2014, will take place at Bogazici University, Istanbul (Turkey), November 12-16th, 2014.

PhD Graduates

15 PhD graduates from Computer Engineering

About Us...

Introduction to Machine Learning, third edition

Third Edition of Ethem Alpaydın's Introduction to Machine Learning is now available.

ACM

ACM-ICPC Prgramming Winter Camp was held in Bogazici

Senior Projects

2014 Spring graduates presented their senior projects.

Department Overview

The Computer Engineering Department (CmpE), with its 21 full-time faculty members, holds the largest research groups on Computer and Sensor Networks, Video and Image Processing, Robotics and Artificial Intelligence in Turkey.

With approximately 200 graduate students, enrolled in 2-year Master of Science (with thesis) and PhD programs, CmpE has the largest graduate program in Turkey.

The undergraduate program in computer engineering is designed so that students have a balanced background in computer hardware, software, and computer applications, and that they can adopt themselves to rapidly changing technology in their professional carrier.

The research labs and the research projects span a wide spectrum ranging from embedded system design and real time operating systems to parallel, distributed and ubiquitous computing and multi-agent systems, including various aspects such as multimedia communications, security, and human computer interaction.

Upcoming Events

Today

  1. CmpE 579 Seminar - When students sprint: Experiences with athletic software engineering 12:00pm-1:00pm
    • Start time: 12:00pm
    • End date: Tuesday, September 30th
    • End time: 01:00pm
    • Published: Sunday, September 28th
    • Description:

      Speaker: Philip Johnson

      Title: When students sprint: Experiences with athletic software engineering

      Abstract:
      Information technology is disrupting higher education. Traditional
      pedagogies like the “sage on a stage” are being challenged by “flipped”
      classrooms, in which lectures are moved out of the classroom and onto
      YouTube, and massively open online courses (MOOCs), which dispense with
      classrooms altogether in order to reach tens of thousands of students in
      a single course. Yet these new approaches create new problems: research
      suggests that students viewing course videos “tune out” after six
      minutes, and MOOCs have attrition rates of 90% or more. It is clear that
      much opportunity for experimentation and progress remains.

      In this talk, I present findings from one such experiment: an “athletic”
      pedagogy developed for my software engineering curriculum in Fall 2013.
      I designed the approach to incentivize my students to acquire fluency
      with software development tools and technologies, a traditionally
      difficult goal due to the time investment and focus required from the
      students. End-of-semester course evaluations revealed that 100% of the
      students preferred the athletic approach, and 80% of the students
      thought it improved their ability to focus. In addition, 50% of the
      students voluntarily participated in a Startup Weekend requiring them to
      exercise fluency to create a brand new software application in just 36
      hours.

      To simplify experimentation with future athletic (and non-athletic)
      courses, I designed the Morea Framework using GitHub, Jekyll, and
      Twitter Bootstrap in Spring 2014. Morea implements a “pedagogical
      pattern” where a course consists of a set of modules, and modules
      consist of learning outcomes, readings, experiences, and assessments. I
      will show how Morea lets you “clone” my entire athletic software
      engineering course to use as a basis for your own pedagogical explorations.

      Bio:
      Philip Johnson is a Professor and Associate Chair in the Department of
      Information and Computer Sciences at the University of Hawaii. He
      received B.S. degrees in both Biology and Computer Science from the
      University of Michigan in 1980, and a Ph.D. in Computer Science from the
      University of Massachusetts in 1990. He is Director of the Collaborative
      Software Development Laboratory, which pursues research in software
      engineering, the smart grid, gamification, educational technologies,
      human-computer interaction, and computer supported cooperative work.
      Johnson is active in the Hawaii technology community, has co-founded two
      software startups, and has served on the Board of Directors of several
      technology companies. More details are available at:
      http://philipmjohnson.org

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