【人工智能/机器人项目介绍】--南加州大学
分类:专家指南2020-10-18
南加州大学USC
是美国西部规模及最古老、世界知名,拥有丰富设备、教学资源,坚强课程与师资的私立大学,它同时也是美国大学联盟的一员,南加州大学也是获得美国联邦政府给予研究与发展经费最多的十所美国私立大学之一。
地理位置:加州洛杉矶
US NEWS全美排名:25
MIS专业排名:2
1. MS IN COMPUTER SCIENCE – ARTIFICIAL INTELLIGENCE人工智能
专业介绍:
在南加州大学的计算机科学系,我们在与人工智能相关的各个领域都取得了开创性的突破,包括机器学习、计算机视觉和图像处理、人机交互、语音和语言分析、信息提取和隐私保护。
学制:32 units
学费:$68,736
$8,592/4个学分
语言要求:
6.5(6)
GPA要求:3.0+ / 建议3.6+
先修课程要求:https://viterbigradadmission.usc.edu/programs/masters/msprograms/computer-science/cs-eligibility/
截止日期:1月15号(所有材料截止时间)
课程设置 -- 核心课程
CSCI 570 - Analysis of Algorithms (4)
CSCI 561 - Foundations of Artificial Intelligence (4)
CSCI 566 - Deep Learning and Its Applications (4)
CSCI 567 - Machine Learning (4)
CSCI 571 - Web Technologies
Group Electives (3 course - minimum of 1 course from each of the three groups):
Group 1 - Machine Learning and Deep Learning:
EE 546 - Mathematics of High-Dimensional Data (4)
EE 588 - Optimization for the Information and Data Sciences (4)
ISE 633 - Large Scale Optimization and Machine Learning (3)
Group 2 - Natural Language Procesisng and Speech Recognition:
CSCI 544 - Applied Natural Language Processing (4)
CSCI 662 - Advanced Natural Language Processing (4)
EE 519 - Speech Recognition and Processing for Multimedia (3)
Group 3 - Computer Vision and Robotics:
CSCI 445 - Introduction to Robotics (4)
CSCI 545 - Robotics (4)
CSCI 677 - Advanced Computer Vision (4)
EE 569 - Digital Image Processing (4)
*Note: Students may use units of CSCI 599 or CSCI 699 toward the elective group requirements with department approval.
2. MS IN COMPUTER SCIENCE – INTELLIGENT ROBOTICS智能机器人
官网链接:
专业介绍:
南加州大学的机器人技术专注于开发有效的、健壮的、以人为中心的、可扩展的机器人系统。在这一领域,我们的专业范围从社交辅助机器人和虚拟触摸的新触觉技术到复杂的人机交互和多机器人系统。
学制:32 units
学费:$68,736
$8,592/4个学分
语言要求:
6.5(6)
GPA要求:3.0+ / 建议3.6+
先修课程要求:https://viterbigradadmission.usc.edu/programs/masters/msprograms/computer-science/cs-eligibility/
截止日期:1月15号(所有材料截止时间)
课程设置 -- 核心课程
Core Requirement (4 units):
CSCI 570 Analysis of Algorithms Units: 4
Emphasis Requirements (8 units):
CSCI 545 Robotics Units: 4
CSCI 561 Foundations of Artificial Intelligence Units: 4
Emphasis Electives (20 units)
Complete 20 units from the following:
CSCI 445L Introduction to Robotics Units: 4 *
CSCI 534 Affective Computing Units: 4
CSCI 540 Self-Organization Units: 4
CSCI 567 Machine Learning Units: 4
CSCI 573 Probabilistic Reasoning Units: 3
CSCI 599 Special Topics Units: 2, 3, 4
CSCI 590 Directed Research Units: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 **
CSCI 591 Computer Science Research Colloquium Units: 1 **
CSCI 646 Coordinated Mobile Robotics Units: 4
Non-Computer Science course from the approved list Units: 3-4
600-level CSCI course (adviser approval required) Units: 4
Additional 500-level CSCI course Units: 4
