The great boom in low-cost, high-throughput technologies in genomics has brought about the Big Data era to life sciences. Understandings of how these big datasets are generated and structured are key to the proper interpretation and utilization of these large-scale, high dimensional datasets. This course will start with the introduction of key technology advances and then focus on the emerging qualitative and quantitative inference approaches. The material mainly includes microarray, next-generation sequencing, proteomics, metabolomics, dynamic models and network analyses. Structure biology will also be briefly touched when protein-protein interaction network analysis is discussed. Besides learning about the technology and algorithm advancements, the students will integrate their own unique knowledge backgrounds and what they learn from this course to tackle real-world network problems using authentic datasets, as the main objective of their final project.