Giordano Fusco

Graduate Courses

Courses taken at Stony Brook University:

Fall 2008:

• CSE 532: Theory of Database Systems, taught by Prof. Himanshu Gupta.
• CSE 592: Advanced Topics in Ad Hoc and Sensor Networks, taught by Prof. Himanshu Gupta.

Spring 2008:

• CSE 547: Disctrete Mathematics, taught by Prof. Anita Wasilewska.
• CSE 548: Analysis of Algorithms, taught by Prof. Jie Gao.

Fall 2007:

• CSE 534: Fundamentals of Computer Networks, taught by Prof. Hussein Badr.
• CSE 537: Artificial Intelligence, taught by Prof. I. V. Ramakrishnan.
• CSE 549: Introduction to Computational Biology, taught by Prof. Steven Skiena.

Courses taken at UW-Madison:

Spring 2006:

• Math 627: Introduction to Fourier Analysis, taught by Prof. Alexander Nagel.
• CS 717: Numerical Functional Analysis, taught by Prof. Amos Ron.

Fall 2005:

• CS 784: Data Models and Languages, taught by Prof. Raghu Ramakrishnan.

Spring 2005:

• CS 812: Arithmetic Algorithms, taught by Prof. Eric Bach.
• CS 830: Abstract and Concrete Complexity, taught by Prof. Jin-Yi Cai.

Fall 2004:

• CS 547: Computer System Modeling Fundamentals, taught by Prof. Mary Vernon.
• Math/CS 712: Methods of Computational Mathematics I, taught by Prof. Shi Jin.

Spring 2004:

• CS 525: Linear Programming Methods, taught by Prof. Stephen Wright.
• CS 880: Advanced Complexity Theory, taught by Prof. Dieter van Melkebeek.

Fall 2003:

• CS 787: Advanced Algorithms and Data Structures, taught by Prof. Eric Bach.
• CS 810: Models and Formalisms for Computation, taught by Prof. Jin-Yi Cai.
• ITA Training Program, taught by Prof. Helaine Kriegel.

Selected Course Projects:

• Partitioning of Motifs, Project for CSE 549.
• The "Theory" of the Approximate-Nearest-Neighbor Queries, Project for CS 784.
• Average to Worst Case Connection of Shortest Vector Problem, Project for CS 830.
• Inapproximability of Lattice and Coding Problems with Preprocessing, Project for CS 880.