(INF-0612 - Messing with Data)
Teacher: Zanoni Dias
Introduction to Data Analysis using the R Language. Data types (vectors, lists, matrices, data frames, etc.). Predefined functions. Implementation of functions in R. Treatment, analysis and visualization of data.
Classes: 29/01/2022, 05/02/2022, 12/02/2022 and 19/02/2022, from 08:30 am to 12:30 pm.
(INF-0611 - Gathering Data)
Teacher: Lin Tzy Li
Introduction to information retrieval. Ranking evaluation techniques. Unstructured data recovery concepts. Text recovery. Image recovery by content. Video recovery. Techniques for improving ranking quality.
Classes: 29/01/2022, 05/02/2022, 12/02/2022 and 19/02/2022, from 13:30 am to 17:30 pm.
MACHINE LEARNING NOT SUPERVISED
(INF-0613 - Exploring Data)
Teacher: Hélio Pedrini
Discovery of knowledge. Understanding and prospecting for information. Exploratory data analysis. Anomaly detection. Association rules. Dimensionality reduction. Attribute selection. Grouping techniques.
Classes: 05/03/2022, 12/03/2022, 19/03/2022 and 26/03/2022, from 13:30 pm to 17:30 pm.
SUPERVISED MACHINE LEARNING I
(INF-0615 - Learning from Data)
Teacher: Anderson de Rezende Rocha
Classification problems. Decision boundaries. Linear and non-linear classifiers, logistic regression, decision trees and random forests. Overfitting and validation. Ensemble methods: bagging, boosting and stacking. Cross validation. Imbalance, diagnosis of bias and variance. Evaluation measures. Interpretation of models (X-AI) and classification in open scenario (open-set).
Classes: 05/03/2022, 12/03/2022, 19/03/2022 and 26/03/2022, from 08:30 pm to 12:30 pm.
(INF-0614 - Viewing data)
Teacher: Celmar Guimarães da Silva
Theoretical and practical aspects of Information Visualization (InfoVis). Representation of data in a graphic and interactive way. InfoVis reference model. Characterization of data. Recommendations for visual mapping. Visualization of multidimensional data. Visualization of texts.
Classes: 02/04/2022, 09/04/2022, 23/10/2022 and 30/04/2022, from 08:30 am to 12:30 pm.
SUPERVISED MACHINE LEARNING II
(INF-0616 - Thinking with Data I)
Teacher: Esther Luna Colombini
Vector Support Machines (SVMs): kernels (linear and non-linear), SVRs and one-class SVM. Regularization techniques. Grid-search and random-search. Neural networks: types of networks, forward and backward propagation, and activation functions. Statistical tests.
Classes: 02/04/2022, 09/04/2022, 23/10/2022 and 30/04/2022, from 13:30 am to 17:30 pm.
BIG DATA (INF-0617 - Big Data)
Teacher: Lucas Francisco Wanner
Introduction to parallel and distributed computing. Parallel data processing in Python. Distributed data processing with Map-Reduce and Hadoop Streaming. Introduction to tools for analyzing and processing data with Hadoop and Spark.
Classes: 07/05/2022, 14/05/2022, 21/05/2022 and 28/05/2022, from 08:30 am to 12:30 pm.
(INF-0618 - Thinking with Data II)
Teacher: Sandra Eliza Fontes de Avila
Deep learning and convolutional neural networks (CNN). Convolution: padding and stride. Loss functions. Training: activation, pre-processing, data augmentation, weight initialization and parameter optimization functions. Regularization. Learning transfer. Recurrent Neural Networks (RNN). Transformers. Detection and Segmentation. Generative Adversarial Networks (GAN). Interpretability (X-AI). Tools: TensorFlow and Keras.
Classes: 07/05/2022, 14/05/2022, 21/05/2022 and 28/05/2022, from 13:30 am to 17:30 pm.
FINAL PROJECT (INF-0619 - Data @ Work)
Teacher: Zanoni Dias
Definition of target problem. Data identification and collection. Analysis of the techniques to be employed. Comparative study. Analysis, visualization and presentation of results.
Classes: 25/06/2022, 02/07/2022, 09/07/2022 and 16/07/2022, from 08:30 am to 12:30 pm.
100% Online Course
Our course is not a traditional distance learning course (EAD), with recorded or pre-recorded classes. All classes will be held and broadcast live (via Zoom), with the participation of students in real time, on the days and times indicated above. The evaluations will be carried out through practical work that must be submitted through the course's own platform.
The following documents are required for registration:
Registration Form and signed Term of Commitment (documents generated by the Online Pre-Registration)
RG and CPF
Graduation Diploma (front and back) or Graduation Course Completion Certificate
Scholar graduation transcripts
Cover letter (optional, free format, one page)
Digital copies of the documents listed above must be sent by email to the Extension Secretariat of the Unicamp Computing Institute (email@example.com), with the subject "MDC - Registration Documents" until 12/12/2021 (Sunday).
Documents must be received by email by the Extension Office by 12/12/2021 (Sunday).
In case of doubts about the registration documentation, consult the Extension Secretariat (firstname.lastname@example.org).
Late registration will not be accepted.
The total amount of the course can be paid, via bank slip, in 3 ways:
Interest-free, in 5 monthly installments of R $ 1.799,99, the first maturing on 10/01/2022.
With a 5% discount, in three monthly installments of R $ 2.849,98, the first maturing on 10/01/2022.
In cash, with a discount of R $ 1000,00, in the amount of R $ 7.999,95, with maturity on 10/01/2022.
Observation: the 5% discount for payment in three installments will be applied to the issue of slips.
Complete top level. Basic knowledge of programming logic.
Computer professionals, trained in Computing or related areas (Engineering or Exact).
Analysis of Curriculum and School History.
Saturdays, from 8:30 am to 12:30 pm and from 13:30 pm to 17:30 pm.
As it is a course with a practical focus, all students must have a computer / notebook with internet access to follow the classes and proposed practical activities.
A minimum of 25 and a maximum of 90 students.
Course coordinator: Zanoni Days
Anderson de Rezende Rocha
Celmar Guimarães da Silva
Esther Luna Colombini
Lin Tzy Li
Lucas Francisco Wanner
Sandra Eliza Fontes from Avila
|04/10/2021 até 12/12/2021
||Deadline for submission of registration documents
||Disclosure of candidates selected for registration
||Maturity of the first or single installment
|29/01/2022 até 16/07/2022
||Course offering period