More FIX on the NET @ FIX University Cultural Campus
Welcome to Spring Semester 2013
POEMARIO
Novedad literaria
TRAVESIA DEL ALMA
en la
18a Feria del libro del pacifico
Encuentro de culturas y regiones
Lanzamiento del libro y recital
sàbado 29 de Septiembre de 2012
4 P.M
Auditorio Jorge Isaacs
Biblioteca Departamental
María Jenny Cabrera (MAYE )
yeca95@yahoo.es
Caleña raizal, (1962) escribe desde su adolescencia, la inspiración inicial estuvo en GABRIELA MISTRAL Y ALFONSINA STORNI, ha sido influenciada por MEIRA DEL MAR , MARIA MERCEDES CARRANZA , PIEDAD BONNET, Y LA POETISA DE PALENQUE MARIA TERESA RAMIREZ.
entre sus poetas favoritos están PABLO NERUDA, PORFIRIO BARBA JACOB CESAR VALLEJO,JOSE ASUNCION SILVA,JORGE LUIS BORGES y MARIO BENEDETTI.
Cuenta con dos libros inéditos y Travesía del Alma, poemario que se lanza en Septiembre de 2012.
Cuenta con su Blog : MAYECALI.BLOGSPOT.COM ( TRAVESÍA DEL EL ALMA), donde precisamente desnuda ésta para dejarnos conocer los sibilino senderos por los que hubo de trasegar para llegar a las letras que hoy relatan su camino sin llegada pero henchido de esperanza.
Es egresada de la Universidad del Valle en Gestión Ejecutiva y fue gestora cultural de su comuna nombrada por voto popular.
Ofició como presentadora del programa de televisión MAGAZIN AM.COM y colaboró por algún tiempo con programas radiales al lado de insignes periodistas de la ciudad en procura de incentivar nuevamente una Cali cívica por excelencia.
Creadora y Directora de la Fundación HACIENDO CIUDAD, HACEMOS PAIS que propendía por recuperar el civismo de la ciudad y brindar oportunidad de aprendizaje artístico a niños con alto grado de vulnerabilidad.
Un Rincón Poético para caminar juntos en búsqueda de respuestas sobre el dolor, la Soledad, la Pasión y el AMOR
ESCULTOR
Centelleas en las cumbres
Las más altas
eres sabiduría milenaria;
Heredada del agua
De paso firme y trasegar altivo
La luz de los colores
Iluminan tu risa y tus ansias
Plasmas vidas en retablos
Esculpes trazos en el alba.
palabras que enamoran
Brota tu pluma madrugada
La pasión marcó tu sello
vibraste y fuiste trueno
levitó como pluma
la piel que anidaba
entre tus brazos tiernos
montañas de agua etérea
la bañaban
y en una madrugada
ceñiste la dulzura
la esculpiste para el alma.
Maye
ENCUENTROS
Cubierto de espejos
la tarde cae en penumbra
los ojos transitan
en el espacio silente.
el aroma del viento
busca perpetuarse
en las huellas de una imagen
tatuada de versos
MAYE
Cali- 2012
INTIMA
Esa soy, la real,
taciturna, vaporosa, enamorada
Esa soy
sin deseos, sin sexo, sin mi cuerpo,
sola con mi alma
la del día a día
la que dispone mundos
y por igual su casa
que se viste de vida
para cuidar del nido
la que edifica un hombre
la que construye hijos
La que piensa y dispensa
y se arruga y desmaya
la que mira en silencio
Como todo se acaba
Esa soy
la del día a día
Esa que imagina que
enamora el alba
y busca en resquicios
de otros alma
y el alma de ella
la que sueña amores,
la que olvida odios
y las decepciones
las guarda silente
entre ajadas flores
esa soy
la que se abandona
y se entrega toda
toda en sentimiento
solo con su alma
lejos de su cuerpo
con sus tantas penas
y escasas alegrías
que de vez en cuando
se pretende reina¡, se pretende musa¡,
se pretende hada¡ , nana¡, abuela y niña¡
la que canta versos,
y por quién la vida brinda su ambrosía
MAYE.
The Best College Radio Stations
ABOUT THIS COURSE
CS188.1x is a new online adaptation of the first half of UC Berkeley's CS188: Introduction to Artificial Intelligence. The on-campus version of this upper division computer science course draws about 600 Berkeley students each year.
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces. AI lets you guide your phone with your voice and read foreign newspapers in English. Beyond today's applications, AI is at the core of many new technologies that will shape our future. From self-driving cars to household robots, advancements in AI help transform science fiction into real systems.
CS188.1x focuses on Behavior from Computation. It will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision–theoretic modeling paradigm. By the end of this course, you will have built autonomous agents that efficiently make decisions in stochastic and in adversarial settings. CS188.2x (to follow CS188.1x, precise date to be determined) will cover Reasoning and Learning. With this additional machinery your agents will be able to draw inferences in uncertain environments and optimize actions for arbitrary reward structures. Your machine learning algorithms will classify handwritten digits and photographs. The techniques you learn in CS188x apply to a wide variety of artificial intelligence problems and will serve as the foundation for further study in any application area you choose to pursue.
COURSE STAFF
Dan Klein (Instructor)
Dan Klein (PhD Stanford, MSt Oxford, BA Cornell) is an associate professor of computer science at the University of California, Berkeley. His research focuses on natural language processing and using computational methods to automatically acquire models of human languages. Examples include large-scale systems for language understanding, information extraction, and machine translation, as well as computational linguistics projects, such as the reconstruction of ancient languages. One of his best-known results was to show that human grammars can be learned by statistical methods. He also led the development of the Overmind, a galaxy-dominating, tournament-winning agent for the game of Starcraft. Academic honors include a Marshall Fellowship, a Microsoft Faculty Fellowship, a Sloan Fellowship, an NSF CAREER award, the ACM Grace Murray Hopper award for his work on grammar induction, and best paper awards at the ACL, NAACL, and EMNLP conferences. Professor Klein is the recipient of multiple teaching honors, including the UC Berkeley Distinguished Teaching Award.
Pieter Abbeel (Instructor)
Pieter Abbeel (PhD Stanford, MS/BS KU Leuven) joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in 2008. He regularly teaches CS188: Introduction to Artificial Intelligence and CS287: Advanced Robotics. His research focuses on robot learning. Some results include machine learning algorithms which have enabled advanced helicopter aerobatics, including maneuvers such as tic-tocs, chaos and auto-rotation, which only exceptional human pilots can perform, and the first end-to-end completion of reliably picking up a crumpled laundry article and folding it. Academic honors include best paper awards at ICML and ICRA, the Sloan Fellowship, the Air Force Office of Scientific Research Young Investigator Program (AFOSR-YIP) award, the Okawa Foundation award, the MIT TR35, the IEEE Robotics and Automation Society (RAS) Early Career Award, and the Dick Volz award for best PhD thesis in robotics and automation.
Arjun Singh (Head Teaching Assistant)
Arjun Singh (BS UC Berkeley) is a PhD student at UC Berkeley and Berkeley's lead developer for the edX platform. He has been a teaching assistant for the on-campus CS188 offerings four times. As a member of the Robot Learning Lab, he has worked onautonomous helicopters, robotic laundry, and now works on computer vision for roboticsand technology for education. He led the development of the Coursesharing online education platform, which was merged into the edX platform.
Peter Cottle (Teaching Assistant)
Peter Cottle (BS UC San Diego) is a PhD student at UC Berkeley. He was one of the star students in the Spring 2012 offering of CS188, and he is currently a teaching assistant for the on-campus CS188 offering. He conducts his PhD research in the CADML group, which solves manufacturing problems with computer science. He has applied some of the concepts from CS188 for his MS Thesis, a search algorithm that drains polygonal meshes.
Ketrina Yim (Course Illustrator)
Ketrina Yim (MS/BS UC Berkeley) is a programmer by day and an artist by night. As an undergraduate, she decorated the whiteboards of Soda Hall with computer-science-themed cartoons, which eventually led to CS Illustrated, a research project to apply visual metaphors to computational concepts. She is also a CS188 alumnus. Her artwork can be seen online here.
Zack Mayeda (Course Video Producer)
Zack Mayeda is an undergraduate student at UC Berkeley, currently enrolled in the on-campus offering of CS188. He is studying Electrical Engineering and Computer Science, and is interested in mobile application development and web design.
SYLLABUS
- Introduction
- Overview
- Agents: Perception, Decisions, and Actuation
- Search and Planning
- Uninformed Search (Depth-First, Breadth-First, Uniform-Cost)
- Informed Search (A*, Greedy Search)
- Heuristics and Optimality
- Constraint Satisfaction Problems
- Backtracking Search
- Constraint Propagation (Arc Consistency)
- Exploiting Graph Structure
- Game Trees and Tree-Structured Computation
- Minimax, Expectimax, Combinations
- Evaluation Functions and Approximations
- Alpha-Beta Pruning
- Decision Theory
- Preferences, Rationality, and Utilities
- Maximum Expected Utility
- Markov Decision Processes
- Policies, Rewards, and Values
- Value Iteration
- Policy Iteration
- Reinforcement Learning
- TD/Q Learning
- Exploration
- Approximation
PREREQUISITES
- Programming
- Object-Oriented Programming
- Recursion
- Python or ability to learn Python quickly (mini-tutorial provided)
- Data Structures
- Lists vs Sets (Arrays, Hashtables)
- Queuing (Stacks, Queues, Priority Queues)
- Trees vs Graphs (Traversal, Backpointers)
- Math
- Probability, Random Variables, and Expectations (Discrete)
- Basic Asymptotic Complexity (Big-O)
- Basic Counting (Combinations and Permutations)
This course requires both programming and math background. Required programming experience is at the level of a first course for CS majors. The language used will be Python—which in our experience students with programming experience pick up fairly quickly. Your best assessment on whether your programming background is sufficient is Project 1, which will go out in the first week, in which you will program an agent to intelligently navigate a maze. Math background: a first course in probability at the undergraduate level. We will post a self-assessment test in the first week.
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