ARTS 499: Makerspace – NEW Informatics/ ArtEd Course for Fall 2014

Informatics and Art Education are collaborating on a new course this fall to be taught out of the CU Community Fab Lab on campus!  The course is offered in the 8 week format, both in the 1st and 2nd half of the semester.

Students who register for the course will:
  • Develop understanding of principles and processes behind prototyping
  • Hack together and implement tools, ideas and proposals for workshops
  • Critique, test and report on real-world examples of makerspace curriculum
  • Practice multiple styles of expressions for different real-world contexts
  • Gain familiarity with open source and proprietary software
  • Learn about digital literacy, community-based art education, informatics and the design of makerspaces from an interdisciplinary perspective
There are still plenty of open seats! Registration information, including days/ time of class meetings can be viewed here.  There are no pre-requisites, and this course counts as one of the upper level electives in the Informatics minor.  Check out the course materials here!    

BIOE 498/598 Computational Cancer Biology – Fall course

Of interest to informatics students, particularly those interested in bioinformatics.

BIOE 498 / 598 – Computational Cancer Biology (Fall 2012)
CRN: 56892
Tue and Thu 2PM-3:20PM

Instructor: Jian Ma (

Credit: 3 undergraduate hours, 4 graduate hours


We will explore basic biology of cancer. We will discuss mathematical modeling of the process of

carcinogenesis as somatic evolution of cells. We will also focus on current research topics in cancer

biology using data from next-generation sequencing (NGS) technologies. Related tools and resources

will be examined. A selection of the latest research papers in this emerging field will be discussed.

Algorithmic and modeling methods will be stressed, but biological results and their significance will

also be addressed. The class will provide hands-on experience of using computational tools to solve

questions related to cancer genomics.


A Brief Tour of the Human Genome

Basics of Cancer Genetics

Algorithms for Sequence Alignment

Methods for Transcriptome Analysis based on RNA-seq

Identifying Aberrant Genes in Cancer

Methods for Discovering Driver Mutations in Cancer

Models of Cancer Genome Evolution and Metastasis

Models of Chromosomal Abnormalities in Cancer

Cancer Epigenomes

Models for Cancer Somatic Evolutions

One-hit and Two-hit Stochastic Models of Cancer Initiation

Competition Dynamics and Cancer Evolution

Genome-wide Association Studies of Cancer

Computer Lab Sessions

Discussion Sessions

AFRO 498 Race, Gender and Information Communication Technology


New course offering this Fall in the Department of African-American Studies for those interested in digital media, communications, technology and information studies!

AFRO 498 • Tuesday • 2:00 PM – 4:50 PM

Instructor: Noble, Safiya U. (

Credit: 4 hours

Course: Race, Gender and Information Communication Technology 

Description: The portrayal of African-Americans with respect to technology has typically been predicated on a "deficit model," placing African-Americans on the "wrong side" of technological innovation, despite their engagements in and contributions to the design, manufacture, production, consumption and disposal of information communication technologies. These narratives stem from the a series of intersecting practices that are technological, commercial, ideological, and discursive, including narratives of the "digital divide". In this course, we will go beyond issues of computer and Internet access to look at race and representation in digital technologies, with additional focus on intersections of gender and class. We will use a critical media studies approach to examine how information technologies affect, and are affected by race, class and gender.

CRN: 60705 (Graduate) 


60704 (Undergraduate Juniors and Seniors with permission of instructor – contact Safiya U. Noble


New course: LING 506 (Topics in Computational Linguistics) – Discourse Processing, Argumentation, and Social Media

New Fall 2012 Seminar:  LING 506 (Topics in Computational Linguistics) – Discourse Processing, Argumentation, and Social Media

Instructor: Prof. Roxana Girju (

Time & location: 9:30am – 10:45am, Tuesday and Thursday, in Foreign Language Bldg., room#1018 or Beckman Institute (to be decided)

Course Description:

This is a seminar on advanced topics in computational linguistics / natural language processing (NLP). An important yet challenging topic in NLP, and Artificial Intelligence, is the automatic detection and processing of discourse structure with application to argumentation and social media. There is a growing need of applications that rely on discourse analysis of different genres. Currently, there are many efforts to detect discourse structure at different levels of granularity and for different purposes. Discourse elements detected include the statement of facts, claims and hypotheses, explanations/justifications, or, in the medical domain, the identification of prescription and treatment guidelines, patient characteristics, and annotation of research data. The challenges derive from the combined requirements of a mapping process (text to a rich representation of relevant entities), representational framework (discourse relations), and reasoning capability (combining inference).

The purpose of this seminar is to expose students to the recent advances in the research on discourse processing and argumentation in social media and other genres through presentations and discussions of papers from the top conferences in NLP and its related areas. One goal of this seminar is to provide an environment for students to become familiar with current discourse representations and models and freely express opinions and criticize the state-of-the-art research work in a group setting.

Lecture presentations and guided discussions based on reading of prepared material (given by the instructor and the students). Case studies and examples will be used to illustrate the practical application of the main concepts, methods, and tools. In order to get the credit for the course, students are expected to participate in the discussions and choose among a midterm project, a research paper, or a survey paper.

The course is open to Linguistics, Computer Science, Computer Engineering, and Library and Information Science students, or to any students with interest and preparation in linguistics or computational linguistics/natural language processing, or artificial intelligence.

Questions should be addressed to the instructor at