University of Iowa 2015-16 General Catalog 1
Large Data Analysis
CS:4700/MATH:4860 High Performance and
Parallel Computing
CS:4980 Topics in Computer Science II
(consult advisor for section approval)
MATH:4820 Optimization Techniques
MSCI:3200 Database Management
Chair, Department of Computer
Science
• Alberto Segre
• Suely P. Oliveira (Computer Science)
Undergraduate certificate: large data analysis
The Certificate in Large Data Analysis is administered by
the Department of Computer Science.
Undergraduate Program of Study
• Certificate in Large Data Analysis
The certificate addresses the need for people with
the quantitative and computational skills to make
sense of massive data. Expertise in this field involves
computational and algorithmic skills to efficiently process
large data sets, statistical analysis to understand if
correlations seen in large data sets are significant, and
mathematical skills to develop and understand the
underlying algorithms for the data analysis.
Certificate
The Certificate in Large Data Analysis requires a minimum
of 21 s.h. The certificate program is open to current
University of Iowa undergraduate students and to all
individuals who hold a bachelor's degree and are not
enrolled in a graduate or professional degree program.
Students must maintain a g.p.a. of at least 2.00 in work for
the certificate.
Students majoring in computer science, mathematics, or
statistics may count a maximum of 6 s.h. of course work
for their major toward the certificate. Students pursuing
other majors should consult with their major advisors to
ascertain whether they may count certificate course work
toward their majors.
Most of the certificate courses have prerequisites not
included in the certificate requirements. Students should
select courses for which they have met the prerequisites.
Prerequisites (or their equivalents) for the certificate
include:
4 s.h.
4 s.h.
4 s.h.
4 s.h.
The following course work is required.
Level I
Both of these:
MATH:3800 Elementary Numerical Analysis
STAT:2010 Statistical Methods and Computing
3 s.h.
3 s.h.
Level II
This course:
STAT:3200 Applied Linear Regression
Two of these:
3 s.h.
3 s.h.
3 s.h.
May include one of these:
Coordinator, Large Data Analysis
CS:1210 Computer Science I: Fundamentals
MATH:1850 Calculus I
MATH:1860 Calculus II
MATH:2700 Introduction to Linear Algebra
3 s.h.
3 s.h.
STAT:5400 Computing in Statistics
STAT:5810/BIOS:5310 Research Data
Management
3 s.h.
3 s.h.
Level III
Both of these:
MATH:4740/STAT:4740/CS:4740 Large Data
Analysis (capstone course)
MSCI:6421/CS:6421 Knowledge Discovery
3 s.h.
3 s.h.
Topic courses on machine learning, internet
measurements and analytics, big data technologies,
or topological data analysis may be substituted for the
requirements with the approval of the large data analysis
advisory board.